| Bilevel heat exchanger network synthesis with an interactive multi-objective optimization method T Laukkanen, TM Tveit, V Ojalehto, K Miettinen, CJ Fogelholm Applied Thermal Engineering 48, 301-316, 2012 | 37 | 2012 |
| An interactive multi-objective approach to heat exchanger network synthesis T Laukkanen, TM Tveit, V Ojalehto, K Miettinen, CJ Fogelholm Computers & chemical engineering 34 (6), 943-952, 2010 | 37 | 2010 |
| Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies T Chugh, R Allmendinger, V Ojalehto, K Miettinen Proceedings of the genetic and evolutionary computation conference, 609-616, 2018 | 32 | 2018 |
| Towards automatic testing of reference point based interactive methods V Ojalehto, D Podkopaev, K Miettinen Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 26 | 2016 |
| Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study K Sindhya, V Ojalehto, J Savolainen, H Niemistö, J Hakanen, K Miettinen Expert systems with applications 41 (5), 2546-2558, 2014 | 23 | 2014 |
| Implementation aspects of interactive multiobjective optimization for modeling environments: the case of GAMS-NIMBUS V Ojalehto, K Miettinen, T Laukkanen Computational Optimization and Applications 58, 757-779, 2014 | 21 | 2014 |
| NAUTILUS Navigator: free search interactive multiobjective optimization without trading-off AB Ruiz, F Ruiz, K Miettinen, L Delgado-Antequera, V Ojalehto Journal of Global Optimization 74 (2), 213-231, 2019 | 20 | 2019 |
| Interactive software for multiobjective optimization: IND-NIMBUS V Ojalehto, K Miettinen, MM Mäkelä WSEAS Transactions on Computers 1 (6), 87-94, 2007 | 15 | 2007 |
| Artificial decision maker driven by PSO: An approach for testing reference point based interactive methods C Barba-González, V Ojalehto, J García-Nieto, AJ Nebro, K Miettinen, ... Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 13 | 2018 |
| Agent assisted interactive algorithm for computationally demanding multiobjective optimization problems V Ojalehto, D Podkopaev, K Miettinen Computers & Chemical Engineering 77, 105-115, 2015 | 13 | 2015 |
| DESDEO: An open framework for interactive multiobjective optimization V Ojalehto, K Miettinen Multiple criteria decision making and aiding: cases on models and methods …, 2019 | 12 | 2019 |
| Flexible data driven inventory management with interactive multi-objective lot size optimisation R Heikkinen, J Sipilä, V Ojalehto, K Miettinen International Journal of Logistics Systems and Management 46 (2), 206-235, 2023 | 11 | 2023 |
| Applying the approximation method PAINT and the interactive method NIMBUS to the multiobjective optimization of operating a wastewater treatment plant ME Hartikainen, V Ojalehto, K Sahlstedt Engineering Optimization 47 (3), 328-346, 2015 | 9 | 2015 |
| Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process G Saccani, J Hakanen, K Sindhya, V Ojalehto, M Hartikainen, M Antonelli, ... Journal of Environmental Management 254, 109770, 2020 | 7 | 2020 |
| Demonstrating the applicability of PAINT to computationally expensive real-life multiobjective optimization M Hartikainen, V Ojalehto arXiv preprint arXiv:1109.3411, 2011 | 6 | 2011 |
| Interactive multi-objective optimisation of configurations for an oxyfuel power plant process for CO2 capture TM Tveit, T Laukkanen, V Ojalehto, K Miettinen, C Fogelholm Chemical Engineering Transactions 29, 433-438, 2012 | 5 | 2012 |
| IND-NIMBUS software for multiobjective optimization V Ojalehto, K Miettinen, MM Mäkelä Proceedings of the 6th WSEAS International Conference on Simulation …, 2006 | 4 | 2006 |
| An approach to the automatic comparison of reference point-based interactive methods for multiobjective optimization D Podkopaev, K Miettinen, V Ojalehto IEEE Access 9, 150037-150048, 2021 | 3 | 2021 |
| Data-driven interactive multiobjective optimization using a cluster-based surrogate in a discrete decision space J Hakanen, J Malmberg, V Ojalehto, K Eyvindson Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 3 | 2019 |
| Comparing reference point based interactive multiobjective optimization methods without a human decision maker L Chen, K Miettinen, B Xin, V Ojalehto Journal of Global Optimization 85 (3), 757-788, 2023 | 2 | 2023 |
Timo LaukkanenStaff Scientistبريد إلكتروني تم التحقق منه على aalto.fi
