Conference Articles

• Chugh T., Kufer K.-H., Miettinen K., Olhofer M. and Rahat A., "Knowledge Extraction for Multiobjective Optimization on a Budget", In "Multiobjective Optimization on a Budget" (Dagstuhl Seminar 23361), Dagstuhl Reports 13(9) (Allmendinger R., Fonseca C. M., Sayin S., Wiecek M. M., eds.), pp. 24-28, 2024. [doi]
• Liang M., Shavazipour B., Saini B., Emmerich M. and Miettinen K., "A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods", In Proceedings of the 16th International Joint Conference on Computational Intelligence (F. Marcelloni K. MN. van SJ. F, ed.), SciTePress, pp. 214–221, 2024. [doi]

Journal Articles

• Heikkinen R., Karvanen J. and Miettinen K., "A Bayesian Model for Portfolio Decisions based on Debiased and Regularized Expert Predictions", Journal of Business Economics, vol. to-appear, 2024.
• Kania A, Afsar · B, Miettinen K and Sipilä J, "DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization", Journal of Intelligent Manufacturing, vol. 35, pp. 1373-1387, 2024. [Published in parallel in JYX] [doi]
• Larraga G. and Miettinen K., "Survey of Interactive Evolutionary Decomposition-based Multiobjective Optimization Methods", Evolutionary Computation, vol. to appear, no. , pp. , 2024.
• Misitano G, "Exploring the Explainable Aspects and Performance of a Learnable Evolutionary Multiobjective Optimization Method", ACM Transactions on Evolutionary Learning and Optimization, vol. 4, pp. 1-39, 2024. [Published in parallel in JYX] [doi]
• Pajasmaa P., Miettinen K. and Silvennoinen J., "Group Decision Making in Multiobjective Optimization: A Systematic Literature Review", Group Decision and Negotiation, vol. to appear, no. , pp. , 2024.
• Saini BS., Miettinen K, Klamroth K, Steuer RE. and Dächert K, "SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization", IEEE Access, vol. 12, no. , pp. 164371-164388, 2024. [doi]
• Afsar B, Silvennoinen J, Ruiz F, Ruiz AB., Misitano G and Miettinen K, "An experimental design for comparing interactive methods based on their desirable properties", Annals of Operations Research, vol. 338, pp. 835-856, 2024. [Published in parallel in JYX] [doi]
• Mazumdar A, Burkotová J, Krátký T, Chugh T and Miettinen K, "Handling simulation failures of a computationally expensive multiobjective optimization problem in pump design", Engineering Applications of Artificial Intelligence, vol. 136, pp. 108897, 2024. [doi]
• Hautala AJ., Shavazipour B, Afsar B, Tulppo MP. and Miettinen K, "Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation", Frontiers in Public Health, vol. 12, 2024. [Published in parallel in JYX] [doi]
• Pour PA, Bandaru S, Afsar B, Emmerich M and Miettinen K, "A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods", IEEE Transactions on Evolutionary Computation, vol. 28, pp. 778-787, 2024. [Published in parallel in JYX] [doi]
• Burkotová J, Pour PA, Krátký T and Miettinen K, "Interactive multiobjective optimization of an extremely computationally expensive pump design problem", Engineering Optimization, vol. 56, pp. 1318-1333, 2024. [Published in parallel in JYX] [doi]
• Pour PA, Hakanen J and Miettinen K, "A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems", Journal of Global Optimization, vol. 90, pp. 459-485, 2024. [Published in parallel in JYX] [doi]

Book Chapters

• Afsar B, Fieldsend JE., Guerreiro AP., Miettinen K, Gonzalez SR and Sato H, "Many-Objective Quality Measures", Chapter in Many-Criteria Optimization and Decision Analysis (Brockhoff D., Emmerich M., Naujoks B., Purshouse R., eds.), Springer, pp. 113-148, 2023. [doi]

Conference Articles

• Afsar B, Silvennoinen J and Miettinen K, "A Systematic Way of Structuring Real-World Multiobjective Optimization Problems", In Evolutionary Multi-Criterion Optimization, 12th International Conference, EMO 2023, Proceedings (Emmerich M, Deutz A, Wang H, Kononova A.V, Naujoks B, Li K, Miettinen K, Yevseyeva I, eds.), Springer, pp. 593-605, 2023. [Published in parallel in JYX] [doi]
• Lárraga G, Saini BS and Miettinen K, "Incorporating Preference Information Interactively in NSGA-III by the Adaptation of Reference Vectors", In Evolutionary Multi-Criterion Optimization, 12th International Conference, EMO 2023, Proceedings (Emmerich M, Deutz A, Wang H, Kononova A. V., Naujoks B, Li K, Miettinen K, Yevseyeva I, eds.), Springer, pp. 578-592, 2023. [Published in parallel in JYX] [doi]
• Liefooghe A, Verel S, Chugh T, Fieldsend J, Allmendinger R and Miettinen K, "Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective", In Evolutionary Multi-Criterion Optimization, 12th International Conference, EMO 2023, Proceedings (Emmerich M, Deutz A, Wang H, Kononova A.V, Naujoks B, Li K, Miettinen K, Yevseyeva I, eds.), Springer, pp. 260-273, 2023. [Published in parallel in JYX] [doi]
• Lárraga G and Miettinen K, "Component-based thinking in designing interactive multiobjective evolutionary methods", In Proceedings of the Companion Conference on Genetic and Evolutionary Computation, ACM, pp. 1693-1702, 2023. [Published in parallel in JYX] [doi]
• Saini BS, Lárraga G and Miettinen K, "Using a Database to Support Interactive Multiobjective Optimization, Visualization, and Analysis", In Proceedings of the Companion Conference on Genetic and Evolutionary Computation, ACM, pp. 1703-1711, 2023. [Published in parallel in JYX] [doi]

Journal Articles

• Heikkinen R, Sipilä J, Ojalehto V and Miettinen K, "Flexible Data Driven Inventory Management with Interactive Multiobjective Lot Size Optimization", International Journal of Logistics Systems and Management, vol. 46, pp. 206-235, 2023. [Published in parallel in JYX] [doi]
• Saini BS, Chakrabarti D, Chakraborti N, Shavazipour B and Miettinen K, "Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework", Engineering Applications of Artificial Intelligence, vol. 120, pp. 105918, 2023. [Published in parallel in JYX] [doi]
• Chen L, Miettinen K, Xin B and Ojalehto V, "Comparing reference point based interactive multiobjective optimization methods without a human decision maker", Journal of Global Optimization, vol. 85, pp. 757-788, 2023. [Published in parallel in JYX] [doi]
• Afsar B, Ruiz AB. and Miettinen K, "Comparing interactive evolutionary multiobjective optimization methods with an artificial decision maker", Complex & Intelligent Systems, vol. 9, pp. 1165-1181, 2023. [Published in parallel in JYX] [doi]
• Afsar B, Silvennoinen J, Misitano G, Ruiz F, Ruiz AB. and Miettinen K, "Designing empirical experiments to compare interactive multiobjective optimization methods", Journal of the Operational Research Society, vol. 74, pp. 2327-2338, 2023. [Published in parallel in JYX] [doi]
• Hautala AJ., Shavazipour B, Afsar B, Tulppo MP. and Miettinen K, "Machine learning models in predicting health care costs in patients with a recent acute coronary syndrome: A prospective pilot study", Cardiovascular Digital Health Journal, vol. 4, pp. 137-142, 2023. [doi]
• Mazumdar A, López-Ibáñez M, Chugh T, Hakanen J and Miettinen K, "Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems", Evolutionary Computation, vol. 31, pp. 375-399, 2023. [Published in parallel in JYX] [doi]

Journal Articles

• Hakanen J, Rados S, Misitano G, Saini BS., Miettinen K and Matkovic K, "Interactivized: Visual Interaction for Better Decisions With Interactive Multiobjective Optimization", IEEE Access, vol. 10, pp. 33661-33678, 2022. [Published in parallel in JYX] [doi]
• Shavazipour B, Afsar B, Multanen J, Miettinen K and Kujala UM., "Interactive multiobjective optimization for finding the most preferred exercise therapy modality in knee osteoarthritis", Annals of Medicine, vol. 54, pp. 181-194, 2022. [doi]
• Pour PA, Rodemann T, Hakanen J and Miettinen K, "Surrogate assisted interactive multiobjective optimization in energy system design of buildings", Optimization and Engineering, vol. 23, pp. 303-327, 2022. [Published in parallel in JYX] [doi]
• Fieldsend JE., Chugh T, Allmendinger R and Miettinen K, "A Visualizable Test Problem Generator for Many-Objective Optimization", IEEE Transactions on Evolutionary Computation, vol. 26, pp. 1-11, 2022. [doi]
• Koushki J, Miettinen K and Soleimani-damaneh M, "LR-NIMBUS: an interactive algorithm for uncertain multiobjective optimization with lightly robust efficient solutions", Journal of Global Optimization, vol. 83, pp. 843-863, 2022. [Published in parallel in JYX] [doi]
• Saini BS, Emmerich M, Mazumdar A, Afsar B, Shavazipour B and Miettinen K, "Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations", Journal of Global Optimization, vol. 83, pp. 865-889, 2022. [doi]
• Misitano G, Afsar B, Lárraga G and Miettinen K, "Towards explainable interactive multiobjective optimization: R-XIMO", Autonomous Agents and Multi-Agent Systems, vol. 36, pp. 43, 2022. [Published in parallel in JYX] [doi]
• Mazumdar A, Chugh T, Hakanen J and Miettinen K, "Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization", IEEE Transactions on Evolutionary Computation, vol. 26, pp. 1182-1191, 2022. [Published in parallel in JYX] [doi]
• Kania A, Sipilä J, Misitano G, Miettinen K and Lehtimäki J, "Integration of lot sizing and safety strategy placement using interactive multiobjective optimization", Computers & Industrial Engineering, vol. 173, pp. 108731, 2022. [Published in parallel in JYX] [doi]
• Shavazipour B, Podkopaev D and Miettinen K, "Interactive decision support and trade-off analysis for sustainable forest landscape planning under deep uncertainty", Canadian Journal of Forest Research, vol. 52, pp. 1423-1438, 2022. [Published in parallel in JYX] [doi]
• Küfer KH, Miettinen K, Ruzika S and Sayin S, "Special Issue on Multi-criteria optimization in industry", OR Spectrum, vol. 44, pp. 303-305, 2022. [doi]
• Afsar B, Miettinen K and Ruiz F, "Assessing the Performance of Interactive Multiobjective Optimization Methods", ACM Computing Surveys, vol. 54, pp. 1-27, 2022. [Published in parallel in JYX] [doi]

Conference Articles

• Lárraga G and Miettinen K, "A General Architecture for Generating Interactive Decomposition-Based MOEAs", In Parallel Problem Solving from Nature – PPSN XVII, 17th International Conference, Proceedings, Part II (Rudolph G., Kononova A. V., Aguirre H., Kerschke P., Ochoa G., Tusar T., eds.), Springer, pp. 81-95, 2022. [Published in parallel in JYX] [doi]
• Rahat A, Chugh T, Fieldsend J, Allmendinger R and Miettinen K, "Efficient Approximation of Expected Hypervolume Improvement Using Gauss-Hermite Quadrature", In Parallel Problem Solving from Nature – PPSN XVII, 17th International Conference, Proceedings, Part I (Rudolph G., Kononova A. V., Aguirre H., Kerschke P., Ochoa G., Tusar T., eds.), Springer, pp. 90-103, 2022. [Published in parallel in JYX] [doi]
• Pour PA, Bandaru S, Afsar B and Miettinen K, "Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods", In Proceedings of the Genetic and Evolutionary Computation Conference Companion (Fieldsend J.E, ed.), ACM, pp. 1803-1811, 2022. [Published in parallel in JYX] [doi]
• Lárraga G and Miettinen K, "Interactive MOEA/D with multiple types of preference information", In Proceedings of the Genetic and Evolutionary Computation Conference Companion (Fieldsend J. E, ed.), ACM, pp. 1826-1834, 2022. [doi]
• Mazumdar A, Otayagich S and Miettinen K, "Interactive evolutionary multiobjective optimization with modular physical user interface", In Proceedings of the Genetic and Evolutionary Computation Conference Companion (Fieldsend J. E, ed.), ACM, pp. 1835-1843, 2022. [Published in parallel in JYX] [doi]

Conference Articles

• Afsar B, Miettinen K and Ruiz AB., "An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods", In Evolutionary Multi-Criterion Optimization, 11th International Conference, EMO 2021, Proceedings (Ishibuchi H, Zhang Q, Cheng R, Li K, Li H, Wang H, Zhou A, eds.), Springer, pp. 619-631, 2021. [Published in parallel in JYX] [doi]
• Kania A, Sipilä J, Afsar B and Miettinen K, "Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time", In Computational Logistics, 12th International Conference, ICCL 2021, Proceedings (Mes M, Lalla-Ruiz E, Voss S, eds.), Springer, pp. 208-221, 2021. [Published in parallel in JYX] [doi]

Journal Articles

• Falcon-Cardona JG, Ishibuchi H, Coello CA. C and Emmerich M, "On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms", IEEE Transactions on Evolutionary Computation, vol. 25, pp. 681-695, 2021. [doi]
• Hakanen J, Miettinen K and Matković K, "Task-based visual analytics for interactive multiobjective optimization", Journal of the Operational Research Society, vol. 72, pp. 2073-2090, 2021. [Published in parallel in JYX] [doi]
• Schöbel A and Zhou-Kangas Y, "The price of multiobjective robustness: Analyzing solution sets to uncertain multiobjective problems", European Journal of Operational Research, vol. 291, pp. 782-793, 2021. [doi]
• Lovison A and Miettinen K, "On the Extension of the DIRECT Algorithm to Multiple Objectives", Journal of Global Optimization, vol. 79, pp. 387-412, 2021. [Published in parallel in JYX] [doi]
• Shavazipour B, Kwakkel JH. and Miettinen K, "Multi-scenario multi-objective robust optimization under deep uncertainty: A posteriori approach", Environmental Modelling & Software, vol. 144, pp. 105134, 2021. [Published in parallel in JYX] [doi]
• Shavazipour B, López-Ibáñez M and Miettinen K, "Visualizations for decision support in scenario-based multiobjective optimization", Information Sciences, vol. 578, pp. 1-21, 2021. [Published in parallel in JYX] [doi]
• Miettinen K and Sayin S, "Preface of the special issue on global multiobjective optimization", Journal of Global Optimization, vol. 80, pp. 1-2, 2021. [doi]

Journal Articles

• Afsar B, Podkopaev D and Miettinen K, "Data-driven Interactive Multiobjective Optimization: Challenges and a Generic Multi-agent Architecture", Procedia Computer Science, 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, vol. 176, pp. 281-290, 2020. [doi]
• Saccani G, Hakanen J, Sindhya K, Ojalehto V, Hartikainen M, Antonelli M and Miettinen K, "Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process", Journal of Environmental Management, vol. 254, pp. 1-9, 2020. [Published in parallel in JYX] [doi]

Book Chapters

• Dächert K., Klamroth K., Miettinen K. and Steuer R. E., "KaKaRaKe - User-Friendly Visualization for Multiobjective Optimization with High-Dimensional Objective Vectors", Chapter in Dagstuhl Reports (DagRep) (Fonseca C.M., Klamroth K, Rudolph G, Wiecek M.M, eds.), pp. 97-103, 2020.

Conference Articles

• Mazumdar A, Chugh T, Hakanen J and Miettinen K, "An Interactive Framework for Offline Data-Driven Multiobjective Optimization", In BIOMA 2020 : 9th International Conference on Bioinspired Optimization Methods and Their Applications, Proceedings (Filipic B, Minisci E, Vasilei M, eds.), Springer, pp. 97-109, 2020. [doi]
• Saini BS, Hakanen J and Miettinen K, "A New Paradigm in Interactive Evolutionary Multiobjective Optimization", In Parallel Problem Solving from Nature - PPSN XVI, 16th International Conference, Part II (Bäck T, Preuss M, Deutz A, Wang H, Doerr C, Emmerich M, Trautmann H, eds.), pp. 243-256, 2020. [Published in parallel in JYX] [doi]
• Misitano G, "Interactively Learning the Preferences of a Decision Maker in Multi-objective Optimization Utilizing Belief-rules", In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 133-140, 2020. [Published in parallel in JYX] [doi]

Books

• "Evolutionary Multi-Criterion Optimization", Springer International Publishing, 2019. [doi]

Conference Articles

• Mazumdar A, Chugh T, Miettinen K and López-Ibáñez M, "On Dealing with Uncertainties from Kriging Models in Offline Data-Driven Evolutionary Multiobjective Optimization", In Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019 (Deb K, Goodman E, Coello C.AC, Klamroth K, Miettinen K, Mostaghim S, Reed P, eds.), Springer, pp. 463-474, 2019. [doi]
• Saborido R, Ruiz AB., Luque M and Miettinen K, "IRA-EMO: Interactive Method Using Reservation and Aspiration Levels for Evolutionary Multiobjective Optimization", In Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019 (Deb K, Goodman E, Coello C.AC, Klamroth K, Miettinen K, Mostaghim S, Reed P, eds.), Springer, pp. 618-630, 2019. [Published in parallel in JYX] [doi]
• Sindhya K and Hakanen J, "Interactive Inverse Modeling Based Multiobjective Evolutionary Algorithm", In Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 48 (Minisci E, Vasile M, Periaux J, Gauger N, Giannakoglou K, Quagliarella D, eds.), Springer, pp. 303-315, 2019. [doi]
• Fieldsend JE., Chugh T, Allmendinger R and Miettinen K, "A feature rich distance-based many-objective visualisable test problem generator", In Proceedings of the Genetic and Evolutionary Computation Conference, ACM, pp. 541-549, 2019. [doi]
• Chugh T, Kratky T, Miettinen K, Jin Y and Makonen P, "Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm", In Proceedings of the Genetic and Evolutionary Computation Conference, ACM, pp. 1147-1155, 2019. [doi]
• Saini BS, Lopez-Ibanez M and Miettinen K, "Automatic surrogate modelling technique selection based on features of optimization problems", In Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, pp. 1765-1772, 2019. [Published in parallel in JYX] [doi]

Journal Articles

• Ojalehto V and Miettinen K, "DESDEO: An Open Framework for Interactive Multiobjective Optimization", Multiple Criteria Decision Making and Aiding. International Series in Operations Research & Management Science (Huber S., Geiger M., Almeida A. de, eds.), Springer, vol. 274, pp. 67-94, 2019. [doi]
• Hartikainen M, Miettinen K and Klamroth K, "Interactive Nonconvex Pareto Navigator for multiobjective optimization", European Journal of Operational Research, vol. 275, pp. 238-251, 2019. [Published in parallel in JYX] [doi]
• Zhou-Kangas Y, Miettinen K and Sindhya K, "Solving multiobjective optimization problems with decision uncertainty: an interactive approach", Journal of Business Economics, vol. 89, pp. 25-51, 2019. [Published in parallel in JYX] [doi]
• Chugh T, Sindhya K, Hakanen J and Miettinen K, "A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms", Soft Computing, vol. 23, pp. 3137-3166, 2019. [Published in parallel in JYX] [doi]
• Tabatabaei M, Hartikainen M, Sindhya K, Hakanen J and Miettinen K, "An interactive surrogate-based method for computationally expensive multiobjective optimisation", Journal of the Operational Research Society, vol. 70, pp. 898-914, 2019. [doi]
• Zhou-Kangas Y and Miettinen K, "Decision making in multiobjective optimization problems under uncertainty: balancing between robustness and quality", OR Spectrum, vol. 41, pp. 391-413, 2019. [doi]
• Habib A, Singh HK, Chugh T, Ray T and Miettinen K, "A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization", IEEE Transactions on Evolutionary Computation, vol. 23, pp. 1000-1014, 2019. [doi]
• Ruiz AB., Ruiz F, Miettinen K, Delgado-Antequera L and Ojalehto V, "NAUTILUS Navigator: free search interactive multiobjective optimization without trading-off", Journal of Global Optimization, vol. 74, pp. 213-231, 2019. [doi]
• Miettinen K and Ruiz F, "Preface on the Special Issue Global Optimization with Multiple Criteria: Theory, Methods and Applications", Journal of Global Optimization, vol. 75, pp. 1-2, 2019. [doi]
• Jin Y, Wang H, Chugh T, Guo D and Miettinen K, "Data-Driven Evolutionary Optimization: An Overview and Case Studies", IEEE Transactions on Evolutionary Computation, vol. 23, pp. 442-458, 2019. [doi]

Conference Articles

• Barba-González C, Ojalehto V, García-Nieto J, Nebro AJ., Miettinen K and Aldana-Montes JF., "Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods", In 15th International Conference on Parallel Problem Solving from Nature, Proceedings, Part I (Auger A., Fonseca C., Lourenço N., Machado P., Paquete L., Whitley D., eds.), Springer, pp. 274-285, 2018. [Published in parallel in JYX] [doi]
• Zhou-Kangas Y, Miettinen K and Sindhya K, "Interactive Multiobjective Robust Optimization with NIMBUS", In Simulation Science, Proceedings of the First International Workshop SimScience 2017 (Baum M., Brenner G., Grabowski J., Hanschke T., Hartmann S., Schöbel A., eds.), Springer, pp. 60-76, 2018. [Published in parallel in JYX] [doi]
• Zhou-Kangas Y and Miettinen K, "A Simple Indicator Based Evolutionary Algorithm for Set-Based Minmax Robustness", In 15th International Conference on Parallel Problem Solving from Nature, Proceedings, Part I (Auger A., Fonseca C., Lourenço N., Machado P., Paquete L., Whitley D., eds.), Springer, pp. 286-297, 2018. [Published in parallel in JYX] [doi]
• Chugh T, Allmendinger R, Ojalehto V and Miettinen K, "Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies", In Proceedings of the Genetic and Evolutionary Computation Conference (Aguirre H, ed.), ACM, pp. 609-616, 2018. [Published in parallel in JYX] [doi]

Journal Articles

• Chugh T, Jin Y, Miettinen K, Hakanen J and Sindhya K, "A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization", IEEE Transactions on Evolutionary Computation, vol. 22, pp. 129-142, 2018. [Published in parallel in JYX] [doi]
• Eyvindson K, Hartikainen M, Miettinen K and Kangas A, "Integrating risk management tools for regional forest planning: an interactive multiobjective value-at-risk approach", Canadian Journal of Forest Research, vol. 48, pp. 766-773, 2018. [doi]
• Tabatabaei M, Lovison A, Tan M, Hartikainen M and Miettinen K, "ANOVA-MOP: ANOVA Decomposition for Multiobjective Optimization", SIAM Journal on Optimization, vol. 28, pp. 3260-3289, 2018. [doi]
• Jin Y, Miettinen K and Ishibuchi H, "Guest Editorial Evolutionary Many-Objective Optimization", IEEE Transactions on Evolutionary Computation, vol. 22, pp. 1-2, 2018. [doi]

Conference Articles

• Hakanen J and Knowles JD., "On Using Decision Maker Preferences with ParEGO", In 9th International Conference on Evolutionary Multi-Criterion Optimization, Springer, pp. 282-297, 2017. [Published in parallel in JYX] [doi]
• Chugh T, Sindhya K, Miettinen K, Jin Y, Kratky T and Makkonen P, "Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system", In 2017 IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 1541-1548, 2017. [Published in parallel in JYX] [doi]

Journal Articles

• Mazziotta A, Podkopaev D, Triviño M, Miettinen K, Pohjanmies T and Mönkkönen M, "Quantifying and resolving conservation conflicts in forest landscapes via multiobjective optimization", Silva Fennica, vol. 51, 2017. [Published in parallel in JYX] [doi]
• Sindhya K, Manninen A, Miettinen K and Pippuri J, "Design of a Permanent Magnet Synchronous Generator Using Interactive Multiobjective Optimization", IEEE Transactions on Industrial Electronics, vol. 64, pp. 9776-9783, 2017. [doi]
• Allmendinger R, Emmerich MT. M., Hakanen J, Jin Y and Rigoni E, "Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case", Journal of Multi-Criteria Decision Analysis, vol. 24, pp. 5-24, 2017. [doi]
• Chugh T, Chakraborti N, Sindhya K and Jin Y, "A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem", Materials and Manufacturing Processes, vol. 32, pp. 1172-1178, 2017. [Published in parallel in JYX] [doi]

Book Chapters

• Miettinen K and Hakanen J, "Why Use Interactive Multi-Objective Optimization in Chemical Process Design?", Chapter in Multi-Objective Optimization : Techniques and Applications in Chemical Engineering (Rangaiah G.P, ed.), World Scientific. Advances in Process Systems Engineering, 5., pp. 157-197, 2017. [Published in parallel in JYX] [doi]

Conference Articles

• Chugh T, Sindhya K, Miettinen K, Hakanen J and Jin Y, "On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization", In Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science, vol 9921 (Handl J, Hart E, Lewis P, López-Ibáñez M, Ochoa G, Paechter B, eds.), Springer, pp. 214-224, 2016. [Published in parallel in JYX] [doi]
• Ojalehto V, Podkopaev D and Miettinen K, "Towards Automatic Testing of Reference Point Based Interactive Methods", In Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016. Lecture Notes in Computer Science, vol 9921 (Handl J, Hart E, Lewis P, López-Ibáñez M, Ochoa G, Paechter B, eds.), Springer, pp. 483-492, 2016. [Published in parallel in JYX] [doi]
• Hakanen J, Chugh T, Sindhya K, Jin Y and Miettinen K, "Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms", In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 1-8, 2016. [doi]

Book Chapters

• Miettinen K, Hakanen J and Podkopaev D, "Interactive Nonlinear Multiobjective Optimization Methods", Chapter in Multiple Criteria Decision Analysis : State of the Art Surveys, pp. 927-976, 2016. [Published in parallel in JYX] [doi]
• Deb K, Sindhya K and Hakanen J, "Multi-Objective Optimization", Chapter in Decision Sciences - Theory and Practice (Sengupta R. N., Gupta A., Dutta J., eds.), CRC Press, pp. 145-184, 2016. [doi]

Other Publications

• Tabatabaei M and Ten M, "Prospect of T-Splines for the ANOVA-MOP Method, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 10", 2016.

Journal Articles

• Miettinen K and Ruiz F, "NAUTILUS framework: towards trade-off-free interaction in multiobjective optimization", Journal of Business Economics, vol. 86, pp. 5-21, 2016. [Published in parallel in JYX] [doi]
• Miettinen K, Hakanen J, Podkopaev D and Steponavice I, "Special issue on global optimization with multiple objectives", Journal of Global Optimization, vol. 64, 2016. [doi]

Conference Articles

• Chugh T, Sindhya K, Hakanen J and Miettinen K, "An Interactive Simple Indicator-Based Evolutionary Algorithm (I-SIBEA) for Multiobjective Optimization Problems", In Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science, vol 9018 (Gaspar-Cunha A, Antunes CH, Coello C.AC, eds.), Springer, pp. 277-291, 2015. [doi]
• Lovison A and Hartikainen ME., "On Generalizing Lipschitz Global Methods forMultiobjective Optimization", In Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science, vol 9019 (Gaspar-Cunha A, Antunes CH, Coello C.AC, eds.), Springer, pp. 264-278, 2015. [doi]
• Ruiz AB., Luque M, Miettinen K and Saborido R, "An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA", In Evolutionary Multi-Criterion Optimization. EMO 2015. Lecture Notes in Computer Science, vol 9019. (Gaspar-Cunha A, Antunes CH, Coello C.AC, eds.), Springer, pp. 249-263, 2015. [Published in parallel in JYX] [doi]

Other Publications

• Chugh T, Sindhya K, Hakanen J and Miettinen K, "Handling computationally expensive multiobjective optimization problems with evolutionary algorithms: A survey, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 4/2015", 2015.
• Hartikainen M, Miettinen K and Klamroth K, "An Interactive Method for Multiobjective Optimization: Nonconvex Pareto Navigator, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 3/2015", 2015.

Journal Articles

• Filatovas E, Kurasova O and Sindhya K, "Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization", Informatica, vol. 26, pp. 33-50, 2015. [doi]
• Ojalehto V, Podkopaev D and Miettinen K, "Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems", Computers & Chemical Engineering, vol. 77, pp. 105-115, 2015. [doi]
• Tabatabaei M, Hakanen J, Hartikainen M, Miettinen K and Sindhya K, "A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods", Structural and Multidisciplinary Optimization, vol. 52, pp. 1-25, 2015. [Published in parallel in JYX] [doi]
• Triviño M, Juutinen A, Mazziotta A, Miettinen K, Podkopaev D, Reunanen P and Mönkkönen M, "Managing a boreal forest landscape for providing timber, storing and sequestering carbon", Ecosystem Services, vol. 14, pp. 179-189, 2015. [Published in parallel in JYX] [doi]
• Kangas A, Hartikainen M and Miettinen K, "Simultaneous optimization of harvest schedule and data quality", Canadian Journal of Forest Research, vol. 45, pp. 1034-1044, 2015. [Published in parallel in JYX] [doi]
• Miettinen K, Podkopaev D, Ruiz F and Luque M, "A new preference handling technique for interactive multiobjective optimization without trading-off", Journal of Global Optimization, vol. 63, pp. 633-652, 2015. [Published in parallel in JYX] [doi]
• Ruiz AB., Sindhya K, Miettinen K, Ruiz F and Luque M, "E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method", European Journal of Operational Research, vol. 246, pp. 218-231, 2015. [Published in parallel in JYX] [doi]

Journal Articles

• Sindhya K, Ojalehto V, Savolainen J, Niemistö H, Hakanen J and Miettinen K, "Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study", Expert Systems with Applications, vol. 41, pp. 2546-2558, 2014. [doi]
• Steponavičė I, Ruuska S and Miettinen K, "A solution process for simulation-based multiobjective design optimization with an application in the paper industry", Computer-Aided Design, vol. 47, pp. 45-58, 2014. [Published in parallel in JYX] [doi]
• Miettinen K, "Survey of methods to visualize alternatives in multiple criteria decision making problems", OR Spectrum, vol. 36, pp. 3-37, 2014. [Published in parallel in JYX] [doi]
• Miettinen K, Mustajoki J and Stewart TJ., "Interactive multiobjective optimization with NIMBUS for decision making under uncertainty", OR Spectrum, vol. 36, pp. 39-56, 2014. [Published in parallel in JYX] [doi]
• Kangas A, Hartikainen M and Miettinen K, "Simultaneous optimization of harvest schedule and measurement strategy", Scandinavian Journal of Forest Research, vol. 29, pp. 224-233, 2014. [Published in parallel in JYX] [doi]
• Mönkkönen M, Juutinen A, Mazziotta A, Miettinen K, Podkopaev D, Reunanen P, Salminen H and Tikkanen OP, "Spatially dynamic forest management to sustain biodiversity and economic returns", Journal of Environmental Management, vol. 134, pp. 80-89, 2014. [doi]
• Ojalehto V, Miettinen K and Laukkanen T, "Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS", Computational Optimization and Applications, vol. 58, pp. 757-779, 2014. [Published in parallel in JYX] [doi]

Conference Articles

• Eyvindson K, Hartikainen M and Kurttila M, "Towards constructing a Pareto front approximation for use in interactive forest management planning", In Implementation of DSS tools into the forestry practice : Reviewed Conference Proceedings (Tuček J, Smreček R, Majlingová A, Garcia-Gonzalo J, eds.), Technical University in Zvolen, 2013.
• Sindhya K, Ojalehto V, Savolainen J, Niemistö H, Hakanen J and Miettinen K, "APROS-NIMBUS: Dynamic Process Simulator and Interactive Multiobjective Optimization in Plant Automation", In Proceedings of the 23rd European Symposium on Computer Aided Process Engineering (Kraslawski A, Turunen I, eds.), Elsevier, pp. 871-876, 2013. [doi]

Book Chapters

• Fan N, Mujahid S, Zhang J, Georgiev P, Papajorgji P, Steponavice I, Neugaard B and Pardalos PM., "Nurse Scheduling Problem: An Integer Programming Model with a Practical Application", Chapter in Systems Analysis Tools for Better Health Care Delivery. Springer Optimization and Its Applications, (Pardalos P, Georgiev P, Papajorgji P, Neugaard B, eds.), Springer, pp. 65-98, 2013. [doi]

Journal Articles

• Hakanen J., Sahlstedt K. and Miettinen K., "Wastewater treatment plant design and operation under multiple conflicting objective functions", Environmental Modelling & Software, vol. 46, pp. 240-249, 2013. [doi]
• Tarkkanen S, Miettinen K, Hakanen J and Isomäki H, "Incremental user-interface development for interactive multiobjective optimization", Expert Systems with Applications, vol. 40, pp. 3220-3232, 2013. [doi]
• Giri BK, Hakanen J, Miettinen K and Chakraborti N, "Genetic programming through bi-objective genetic algorithms with a study of a simulated moving bed process involving multiple objectives", Applied Soft Computing, vol. 13, pp. 2613-2623, 2013. [doi]
• Hakanen J., Sahlstedt K. and Miettinen K., "Wastewater treatment plant design and operation under multiple conflicting objective functions", Environmental Modelling & Software, vol. 46, pp. 240-249, 2013. [doi]
• Sindhya K, Miettinen K and Deb K, "A Hybrid Framework for Evolutionary Multi-Objective Optimization", IEEE Transactions on Evolutionary Computation, vol. 17, pp. 495-511, 2013. [doi]

Other Publications

• Bokrantz R and Miettinen K, "Improved Plan Quality in Multicriteria Radiation Therapy Optimization by Projections onto the Pareto Surface, in Technical Report TRITA-MAT-2012-OS4,", 2012.

Conference Articles

• "Learning in Multiobjective Optimization (Dagstuhl Seminar 12041)", In Dagstuhl Reports, Volume 2 (Greco S, Knowles JD, Miettinen K, Zitzler E, eds.), pp. 50-99, 2012.
• Ruuska S and Miettinen K, "Constructing evolutionary algorithms for bilevel multiobjective optimization", In 2012 IEEE Congress on Evolutionary Computation, IEEE, pp. 1-7, 2012. [doi]

Journal Articles

• Luque M, Miettinen K, Ruiz AB. and Ruiz F, "A two-slope achievement scalarizing function for interactive multiobjective optimization", Computers & Operations Research, vol. 39, pp. 1673-1681, 2012. [doi]
• Nikulin Y, Miettinen K and Mäkelä MM., "A new achievement scalarizing function based on parameterization in multiobjective optimization", OR Spectrum, vol. 34, pp. 69-87, 2012. [doi]
• Ruuska S, Miettinen K and Wiecek MM., "Connections Between Single-Level and Bilevel Multiobjective Optimization", Journal of Optimization Theory and Applications, vol. 153, pp. 60-74, 2012. [Published in parallel in JYX] [doi]
• Ruiz F, Luque M and Miettinen K, "Improving the computational efficiency in a global formulation (GLIDE) for interactive multiobjective optimization", Annals of Operations Research, vol. 197, pp. 47-70, 2012. [doi]
• Hartikainen M, Miettinen K and Wiecek MM., "PAINT: Pareto front interpolation for nonlinear multiobjective optimization", Computational Optimization and Applications, vol. 52, pp. 845-867, 2012. [Published in parallel in JYX] [doi]
• Laukkanen T, Tveit TM, Ojalehto V, Miettinen K and Fogelholm CJ, "Bilevel heat exchanger network synthesis with an interactive multi-objective optimization method", Applied Thermal Engineering, vol. 48, pp. 301-316, 2012. [doi]
• Eskelinen P and Miettinen K, "Trade-off analysis approach for interactive nonlinear multiobjective optimization", OR Spectrum, vol. 34, pp. 803-816, 2012. [doi]
• Frank S, Steponavice I and Rebennack S, "Optimal power flow: a bibliographic survey I", Energy Systems, vol. 3, pp. 221-258, 2012. [doi]
• Frank S, Steponavice I and Rebennack S, "Optimal power flow: a bibliographic survey II", Energy Systems, vol. 3, pp. 259-289, 2012. [doi]

Conference Articles

• Hartikainen M, Miettinen K and Wiecek MM., "Decision Making on Pareto Front Approximations with Inherent Nondominance", In Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10, Springer, pp. 35-45, 2011. [Published in parallel in JYX] [doi]
• Podkopaev D and Miettinen K, "Handling Preferences in the ”Pre-conflicting” Phase of Decision Making Processes under Multiple Criteria", In Algorithmic Decision Theory. ADT 2011. Lecture Notes in Computer Science, vol 6992 (Brafman R.I, Roberts F.S, Tsoukiàs A, eds.), Springer, pp. 234-246, 2011. [doi]
• Sindhya K, Ruiz AB and Miettinen K, "A Preference Based Interactive Evolutionary Algorithm for Multi-objective Optimization: PIE", In Evolutionary Multi-Criterion Optimization. EMO 2011. Lecture Notes in Computer Science, vol 6576 (Takahashi R.H.C, Deb K, Wanner E.F, Greco S, eds.), Springer, pp. 212-225, 2011. [doi]

Other Publications

• Hartikainen M, Miettinen K and Wiecek M, "PAINT: An Interpolation method for Computationally Expensive Multiobjective Optimization Problems, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 3/2011", 2011.
• Luque M, Miettinen K, Ruiz A.B and Ruiz F, "Reference Point-Based Methods: A New Approach with Two Weight Vectors, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 6/2011", 2011.
• Sindhya K, Miettinen K and Deb K, "A Hybrid Framework with Enhanced Convergence and Diversity Preservation for Evolutionary Multiobjective Optimization, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 1/2011", 2011.

Journal Articles

• Luque M, Ruiz F and Miettinen K, "Global formulation for interactive multiobjective optimization", OR Spectrum, vol. 33, pp. 27-48, 2011. [doi]
• Hartikainen M, Miettinen K and Wiecek MM., "Constructing a Pareto front approximation for decision making", Mathematical Methods of Operations Research, vol. 73, pp. 209-234, 2011. [Published in parallel in JYX] [doi]
• Hakanen J, Miettinen K and Sahlstedt K, "Wastewater treatment: New insight provided by interactive multiobjective optimization", Decision Support Systems, vol. 51, pp. 328-337, 2011. [doi]
• Sindhya K and Miettinen K, "New Perspective to Continuous Casting of Steel with a Hybrid Evolutionary Multiobjective Algorithm", Materials and Manufacturing Processes, vol. 26, pp. 481-492, 2011. [doi]
• Sindhya K, Ruuska S, Haanpää T and Miettinen K, "A new hybrid mutation operator for multiobjective optimization with differential evolution", Soft Computing, vol. 15, pp. 2041-2055, 2011. [Published in parallel in JYX] [doi]
• Sindhya K, Deb K and Miettinen K, "Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm", Natural Computing, vol. 10, pp. 1407-1430, 2011. [doi]

Conference Articles

• Deb K and Miettinen K, "Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search", In Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems. Lecture Notes in Economics and Mathematical Systems, vol 634 (Ehrgott M, Naujoks B, Stewart T, Wallenius J, eds.), Springer, pp. 339-354, 2010. [doi]
• Eskelinen P, Ruuska S, Miettinen K, Wiecek MM and Mustajoki J, "A scenario-based interactive multiobjective optimization method for decision making under uncertainty", In Proceedings of the 25th Mini-EURO-Conference [URPM 2010], Uncertainty and Robustness in Planning and Decision Making, 15-17 April 2010, Coimbra, Portugal (Antunes C.H, Insua D.R, Dias L.C, eds.), pp. 1-7, 2010.
• Haanpaa T, Aittokoski T, Miettinen K and Hakanen J, "An Approach to Minimize the Number of Function Evaluations in Global Optimization", In 24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, Proceedings (Kasimbeyli R, Dincer C, Ozpeynirci S, Sakalauskas L, eds.), Vilnius Gediminas Technical University Publishing House "Technika", pp. 161-166, 2010.
• Hartikainen M and Miettinen K, "A Computationally Inexpensive Approach in Multiobjective Heat Exchanger Network Synthesis", In Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10 (Collan M, ed.), pp. 99-109, 2010. [Published in parallel in JYX]
• Ruotsalainen H, Miettinen K and Palmgren JE, "Interactive Multiobjective Optimization for 3D HDR Brachytherapy Applying IND-NIMBUS", In New Developments in Multiple Objective and Goal Programming, Proceedings (Jones D, Tamiz M, Ries J, eds.), Springer-Verlag, pp. 117-131, 2010. [doi]
• Sahlsted K.E, Hakanen J and Miettinen K, "Interactive Multiobjective Optimization in Wastewater Treatment Plant Operation and Design", In CD-Proceedings of the IWA Specialist Conference Water and Wastewater Treatment Plants in Towns and Communities of the XXI Century: Technologies, Design and Operation, 2010.

Other Publications

• Hartikainen M, Miettinen K and Wiecek M, "Inherent Nondominance - Pareto Front Approximations for Decision Making, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 2/2010", 2010.
• Hartikainen M, Miettinen K and Wiecek M.M, "Pareto Front Approximation with Inherent Nondominance and the Delaunay Triangulation, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 5/2010", 2010.
• Nikulin Y, Miettinen K and Mäkelä M.M, "A Parametrized Achievement Scalarizing Function for Multiobjective Optimization, Turku Centre for Computer Science, TUCS Technical Report No. 969", 2010.
• Sindya K, Haanpää T, Ruuska S and Miettinen K, "An Operator Guided by Polynomial Approximation for Multiobjective Optimization, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 3/2010", 2010.

Journal Articles

• Miettinen K, "Miksi kompromissi on parempi kuin optimi? Uusia monitavoiteoptimoinnin menetelmiä päätöksentekoon", Academia Scientarium Fennica 2009, pp. 87-92, 2010.
• Eskelinen P, Miettinen K, Klamroth K and Hakanen J, "Pareto navigator for interactive nonlinear multiobjective optimization", OR Spectrum, vol. 32, pp. 211-227, 2010. [doi]
• Miettinen K, Eskelinen P, Ruiz F and Luque M, "NAUTILUS method: An interactive technique in multiobjective optimization based on the nadir point", European Journal of Operational Research, vol. 206, pp. 426-434, 2010. [doi]
• Laukkanen T, Tveit TM, Ojalehto V, Miettinen K and Fogelholm CJ, "An interactive multi-objective approach to heat exchanger network synthesis", Computers & Chemical Engineering, vol. 34, pp. 943-952, 2010. [doi]
• Ruotsalainen H, Miettinen K, Palmgren JE and Lahtinen T, "Interactive multiobjective optimization for anatomy-based three-dimensional HDR brachytherapy", Physics in Medicine and Biology, vol. 55, pp. 4703-4719, 2010. [doi]
• Aittokoski T. and Miettinen K., "Efficient evolutionary approach to approximate the Pareto-optimal set in multiobjective optimization, UPS-EMOA", Optimization Methods and Software, vol. 25, pp. 841-858, 2010. [doi]
• Deb K, Miettinen K and Chaudhuri S, "Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches", IEEE Transactions on Evolutionary Computation, vol. 14, pp. 821-841, 2010. [doi]

Other Publications

• Aittokoski T, "On Challenges of Simulation-Based Global and Multiobjective Optimization", PhD thesis, , 2009.

Conference Articles

• Deb K, Miettinen K and Sharma D, "A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point", In Evolutionary Multi-Criterion Optimization. EMO 2009. Lecture Notes in Computer Science, vol 5467 (Ehrgott M, Fonseca C.M, Gandibleux X, Hao J.K, Sevaux M, eds.), pp. 569-583, 2009. [doi]
• "Hybrid and Robust Approaches to Multiobjective Optimization", In Dagstuhl Seminar Proceedings 09041 (Deb K, Greco S, Miettinen K, Zitzler E, eds.), Internationales Begegnungs- und Forschungszentrum (IBFI), 2009.
• Hakanen J, Kawajiri Y, Biegler LT. and Miettinen K, "Interactive Multiobjective Optimization of Superstructure SMB Processes", In Multiobjective Programming and Goal Programming (Barichard V, Ehrgott M, Gandibleux X, T'Kindt V, eds.), Springer Berlin Heidelberg, pp. 221-230, 2009. [doi]
• Miettinen K, Eskelinen P, Luque M and Ruiz F, "On the Use of Preferential Weights in Interactive Reference Point Based Methods", In Multiobjective Programming and Goal Programming, Springer Berlin Heidelberg, pp. 211-220, 2009. [doi]
• Sindhya K, Sinha A, Deb K and Miettinen K, "Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems", In 2009 IEEE Congress on Evolutionary Computation, IEEE, pp. 2919-2926, 2009. [doi]

Other Publications

• Laukkanen T, Tveit T.M, Ojalehto V, Miettinen K and Fogelholm C.J, "Multiobjective GAMS-NIMBUS Tool Applied for the Heat Exchanger Network Synthesis, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 8/2009", 2009.
• Miettinen K, Eskelinen P, Ruiz F and Luque M, "An Interactive Multiobjective Optimization Method Based on Sequentially Improving Reference Points, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 7/2009", 2009.
• Sindhya K, Deb K and Miettinen K, "A Concurrent Hybrid Algorithm for Improving Convergence of EMO with Local Search, Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 3/2009", 2009.
• Tarkkanen S, "A Literature Review on Decision Support System Research: Development and Evaluation of User Interfaces for Multiple Criteria Decision Making, Reports of the Department of Mathematical Information Technology, Series B. Scientific Computing, No. B 5/2009", 2009.

Book Chapters

• Miettinen K and Hakanen J, "Why Use Interactive Multi-Objective Optimization in Chemical Process Design?", Chapter in Multi-Objective Optimization: Techniques and Applications in Chemical Engineering (Rangaiah GP, ed.), World Scientific, 2009.

Journal Articles

• Ruotsalainen H, Boman E, Miettinen K and Tervo J, "Nonlinear Interactive Multiobjective Optimization Method for Radiotherapy Treatment Planning with Boltzmann Transport Equation", Contemporary Engineering Sciences, vol. 2, pp. 391-422, 2009.
• Luque M, Miettinen K, Eskelinen P and Ruiz F, "Incorporating preference information in interactive reference point methods for multiobjective optimization", Omega, vol. 37, pp. 450-462, 2009. [doi]
• Miettinen K, Molina J, González M, Hernández-Díaz A and Caballero R, "Using box indices in supporting comparison in multiobjective optimization", European Journal of Operational Research, vol. 197, pp. 17-24, 2009. [doi]
• Aittokoski T, Äyrämö S and Miettinen K, "Clustering aided approach for decision making in computationally expensive multiobjective optimization", Optimization Methods and Software, vol. 24, pp. 157-174, 2009. [doi]
• Thiele L, Miettinen K, Korhonen PJ. and Molina J, "A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization", Evolutionary Computation, vol. 17, pp. 411-436, 2009. [doi]

Conference Articles

• Aittokoski T and Miettinen K, "Efficient Evolutionary Method to Approximate the Pareto Optimal Set in Multiobjective Optimization", In Proceedings of the International Conference on Engineering Optimization EngOpt 2008, 2008.
• Eskelinen P and Miettinen K, "Trade-off Analysis Tool for Interactive Nonlinear Multiobjective Optimization", In The 20th EURO Mini Conference "Continuous Optimization and Knowledge-Based Technologies" EurOPT'2008: Selected Papers (Saralauskas L, Weber G.W, Zavadskas E.K, eds.), pp. 223-228, 2008. [doi]
• Hakanen J, Miettinen K and Sahlstedt K, "Simulation-Based Interactive Multiobjective Optimization in Wastewater Treatment", In Proceedings of the International Conference on Engineering Optimization EngOpt 2008, 2008.
• "Proceedings of the 67th Meeting of the European Working Group "Multiple Criteria Decision Aiding", Resumes des 67es Journees du Groupe de Travail Europeen "Aide Multicritere a la Decision"", University of Jyväskylä, 2008.
• Sindhya K, Deb K and Miettinen K, "A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence", In Parallel Problem Solving from Nature – PPSN X. PPSN 2008. Lecture Notes in Computer Science, vol 5199 (Rudolph G, Jansen T, Beume N, Lucas S, Poloni C, eds.), Springer, pp. 815-824, 2008. [doi]

Books

• "Multiobjective Optimization", Springer Berlin Heidelberg, 2008. [doi]

Book Chapters

• Lotov AV. and Miettinen K, "Visualizing the Pareto Frontier", Chapter in Multiobjective Optimization: Interactive and Evolutionary Approaches (Branke J, Deb K, Miettinen K, Slowinski R, eds.), Springer-Verlag, pp. 213-243, 2008. [doi]
• Miettinen K, "Introduction to Multiobjective Optimization: Noninteractive Approaches", Chapter in Multiobjective Optimization: Interactive and Evolutionary Approaches (Branke J, Deb K, Miettinen K, Slowinski R, eds.), Springer-Verlag, pp. 1-26, 2008. [doi]
• Miettinen K, Ruiz F and Wierzbicki AP., "Introduction to Multiobjective Optimization: Interactive Approaches", Chapter in Multiobjective Optimization: Interactive and Evolutionary Approaches (Branke J, Deb K, Miettinen K, Slowinski R, eds.), Springer-Verlag, pp. 27-57, 2008. [doi]
• Miettinen K, Deb K, Jahn J, Ogryczak W, Shimoyama K and Vetschera R, "Future Challenges", Chapter in Multiobjective Optimization: Interactive and Evolutionary Approaches (Branke J, Deb K, Miettinen K, Slowinski R, eds.), Springer-Verlag, pp. 435-461, 2008. [doi]

Journal Articles

• Yevseyeva I, Miettinen K and Räsänen P, "Verbal ordinal classification with multicriteria decision aiding", European Journal of Operational Research, vol. 185, pp. 964-983, 2008. [doi]
• Klamroth K and Miettinen K, "Integrating Approximation and Interactive Decision Making in Multicriteria Optimization", Operations Research, vol. 56, pp. 222-234, 2008. [doi]
• Saariluoma P, Kaario K, Miettinen K and Mäkelä MM., "Mental Contents in Interacting with a Multiobjective Optimization Program", International Journal of Technology and Human Interaction, vol. 4, pp. 43-67, 2008. [doi]
• Aittokoski T and Miettinen K, "Cost effective simulation-based multiobjective optimization in the performance of an internal combustion engine", Engineering Optimization, vol. 40, pp. 593-612, 2008. [doi]

Conference Articles

• Branke J, Deb K, Miettinen K and Slowinski R, "Practical Approaches to Multi-Objective Optimization", In Dagstuhl Seminar Proceedings 06501 (Branke J, Deb K, Miettinen K, Slowinski R, eds.), Internationales Begegnungs- und Forschungszentrum (IBFI), 2007.
• Vassileva M, Vassilev V, Staykov B and Miettinen K, "Generalized Multicriteria Decision Support System", In Proceedings of the HABUSKA Open Workshop Semantic Web and Knowledge Technologies Applications (Dochev D, Simonics I, Boszormenyi L, Pavlov R, eds.), 2007.

Journal Articles

• Hakanen J, Kawajiri Y, Miettinen K and Biegler L.T, "Interactive Multi-Objective Optimization for Simulated Moving Bed Processes", Control and Cybernetics, vol. 36, pp. 282-320, 2007.
• Miettinen K, "Using Interactive Multiobjective Optimization in Continuous Casting of Steel", Materials and Manufacturing Processes, vol. 22, pp. 585-593, 2007.
• Ojalehto V, Miettinen K and Mäkelä M.M, "Interactive Software for Multiobjective Optimization: IND-NIMBUS", WSEAS Transactions on Computers, vol. 6, pp. 87-94, 2007.
• Haarala N, Miettinen K and Mäkelä MM., "Globally convergent limited memory bundle method for large-scale nonsmooth optimization", Mathematical Programming, vol. 109, pp. 181-205, 2007. [doi]
• Maaranen H, Miettinen K and Penttinen A, "On initial populations of a genetic algorithm for continuous optimization problems", Journal of Global Optimization, vol. 37, pp. 405-436, 2007. [doi]
• Setämaa-Kärkkäinen A, Miettinen K and Vuori J, "Heuristic for a new multiobjective scheduling problem", Optimization Letters, vol. 1, pp. 213-225, 2007. [doi]

Journal Articles

• Hakanen J, "On potential of interactive multiobjective optimization in chemical process design", 2006. [Published in parallel in JYX]
• Miettinen K, Mäkelä MM. and Maaranen H, "Efficient hybrid methods for global continuous optimization based on simulated annealing", Computers & Operations Research, vol. 33, pp. 1102-1116, 2006. [doi]
• Miettinen K and Mäkelä MM., "Synchronous approach in interactive multiobjective optimization", European Journal of Operational Research, vol. 170, pp. 909-922, 2006. [doi]
• Setämaa-Kärkkäinen A, Miettinen K and Vuori J, "Best compromise solution for a new multiobjective scheduling problem", Computers & Operations Research, vol. 33, pp. 2353-2368, 2006. [doi]
• Miettinen K, Mäkelä MM. and Kaario K, "Experiments with classification-based scalarizing functions in interactive multiobjective optimization", European Journal of Operational Research, vol. 175, pp. 931-947, 2006. [doi]
• Madetoja E, Miettinen K and Tarvainen P, "Issues related to the computer realization of a multidisciplinary and multiobjective optimization system", Engineering with Computers, vol. 22, pp. 33-46, 2006. [doi]
• Heikkola E, Miettinen K and Nieminen P, "Multiobjective optimization of an ultrasonic transducer using NIMBUS", Ultrasonics, vol. 44, pp. 368-380, 2006. [doi]
• Hakanen J, Hakala J and Manninen J, "An integrated multiobjective design tool for process design", Applied Thermal Engineering, vol. 26, pp. 1393-1399, 2006. [doi]

Conference Articles

• Miettinen K, "IND-NIMBUS for Demanding Interactive Multiobjective Optimization", In Multiple Criteria Decision Making '05 (Trzaskalik T, ed.), The Karol Adamiecki University of Economics in Katowice, pp. 137-150, 2006.
• Miettinen K, "Interactive Multiobjective Optimization Method NIMBUS Applied to Continuous Casting of Steel", In International Workshop on Neural Network and Genetic Algorithm in Materials Science and Engineering, Proceedings (Bandyopadhyay N.R, Chattopadhyay P.P, Datta S, eds.), McGraw-Hill Publishing Company Limited, pp. 58-72, 2006.
• Ojalehto V, Miettinen K and Mäkelä M.M, "IND-NIMBUS Software for Multiobjective Optimization", In Proceedings of the 6th International Conference on Simulation, Modelling and Optimization (Madureira A.M, Quadrado J.C, Bojkovic Z, Impedovo S, Kalpic D, Stjepanovic Z, Javadi S, eds.), pp. 654-659, 2006.
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