| Multi-objective optimization K Deb, K Sindhya, J Hakanen Decision sciences, 161-200, 2016 | 2182 | 2016 |
| A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization T Chugh, Y Jin, K Miettinen, J Hakanen, K Sindhya IEEE Transactions on Evolutionary Computation 22 (1), 129-142, 2016 | 550 | 2016 |
| Self-adaptive simulated binary crossover for real-parameter optimization K Deb, K Sindhya, T Okabe Proceedings of the 9th annual conference on genetic and evolutionary …, 2007 | 362 | 2007 |
| A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms T Chugh, K Sindhya, J Hakanen, K Miettinen Soft Computing 23, 3137-3166, 2019 | 298 | 2019 |
| A hybrid framework for evolutionary multi-objective optimization K Sindhya, K Miettinen, K Deb IEEE Transactions on Evolutionary Computation 17 (4), 495-511, 2012 | 259 | 2012 |
| A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem T Chugh, N Chakraborti, K Sindhya, Y Jin Materials and Manufacturing Processes 32 (10), 1172-1178, 2017 | 131 | 2017 |
| Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems K Sindhya, A Sinha, K Deb, K Miettinen 2009 IEEE Congress on Evolutionary Computation, 2919-2926, 2009 | 122 | 2009 |
| A survey on handling computationally expensive multiobjective optimization problems using surrogates: non-nature inspired methods M Tabatabaei, J Hakanen, M Hartikainen, K Miettinen, K Sindhya Structural and Multidisciplinary Optimization 52, 1-25, 2015 | 120 | 2015 |
| A local search based evolutionary multi-objective optimization approach for fast and accurate convergence K Sindhya, K Deb, K Miettinen International Conference on Parallel Problem Solving from Nature, 815-824, 2008 | 103 | 2008 |
| A new hybrid mutation operator for multiobjective optimization with differential evolution K Sindhya, S Ruuska, T Haanpää, K Miettinen Soft Computing 15, 2041-2055, 2011 | 64 | 2011 |
| Constraint handling in efficient global optimization S Bagheri, W Konen, R Allmendinger, J Branke, K Deb, J Fieldsend, ... Proceedings of the genetic and evolutionary computation conference, 673-680, 2017 | 59 | 2017 |
| Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system T Chugh, K Sindhya, K Miettinen, Y Jin, T Kratky, P Makkonen 2017 IEEE Congress on Evolutionary Computation (CEC), 1541-1548, 2017 | 48 | 2017 |
| Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm K Sindhya, K Deb, K Miettinen Natural Computing 10, 1407-1430, 2011 | 48 | 2011 |
| A preference based interactive evolutionary algorithm for multi-objective optimization: PIE K Sindhya, AB Ruiz, K Miettinen International Conference on Evolutionary Multi-Criterion Optimization, 212-225, 2011 | 47 | 2011 |
| Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems D Sharma, A Kumar, K Deb, K Sindhya 2007 IEEE congress on evolutionary computation, 3003-3010, 2007 | 47 | 2007 |
| Design of a permanent magnet synchronous generator using interactive multiobjective optimization K Sindhya, A Manninen, K Miettinen, J Pippuri IEEE Transactions on Industrial Electronics 64 (12), 9776-9783, 2017 | 46 | 2017 |
| On constraint handling in surrogate-assisted evolutionary many-objective optimization T Chugh, K Sindhya, K Miettinen, J Hakanen, Y Jin Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 42 | 2016 |
| Synchronous R-NSGA-II: an extended preference-based evolutionary algorithm for multi-objective optimization E Filatovas, O Kurasova, K Sindhya Informatica 26 (1), 33-50, 2015 | 39 | 2015 |
| An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems T Chugh, K Sindhya, J Hakanen, K Miettinen Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015 | 38 | 2015 |
| Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms J Hakanen, T Chugh, K Sindhya, Y Jin, K Miettinen 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 37 | 2016 |
Jussi HakanenLead AI Scientist, Silo AIVerified email at silo.ai
