| A hybrid framework for evolutionary multi-objective optimization K Sindhya, K Miettinen, K Deb IEEE Transactions on Evolutionary Computation 17 (4), 495-511, 2012 | 190 | 2012 |
| 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 | 148 | 2016 |
| 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 | 103 | 2009 |
| 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 | 98 | 2007 |
| 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 | 87 | 2008 |
| A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms T Chugh, K Sindhya, J Hakanen, K Miettinen Soft Computing 23 (9), 3137-3166, 2019 | 83 | 2019 |
| 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), 1-25, 2015 | 69 | 2015 |
| A new hybrid mutation operator for multiobjective optimization with differential evolution K Sindhya, S Ruuska, T Haanpää, K Miettinen Soft Computing 15 (10), 2041-2055, 2011 | 55 | 2011 |
| 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 | 50 | 2017 |
| 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 | 41 | 2007 |
| Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm K Sindhya, K Deb, K Miettinen Natural Computing 10 (4), 1407-1430, 2011 | 38 | 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 | 35 | 2011 |
| 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 | 25 | 2015 |
| E-NAUTILUS: a decision support system for complex multiobjective optimization problems based on the NAUTILUS method AB Ruiz, K Sindhya, K Miettinen, F Ruiz, M Luque European Journal of Operational Research 246 (1), 218-231, 2015 | 22 | 2015 |
| Multi-objective optimization D Kalyanmoy Search methodologies, 403-449, 2014 | 22 | 2014 |
| An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems T Chugh, K Sindhya, J Hakanen, K Miettinen International Conference on Evolutionary Multi-Criterion Optimization, 277-291, 2015 | 19 | 2015 |
| New perspective to continuous casting of steel with a hybrid evolutionary multiobjective algorithm K Sindhya, K Miettinen Materials and Manufacturing Processes 26 (3), 481-492, 2011 | 19 | 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 | 18 | 2017 |
| On constraint handling in surrogate-assisted evolutionary many-objective optimization T Chugh, K Sindhya, K Miettinen, J Hakanen, Y Jin International Conference on Parallel Problem Solving from Nature, 214-224, 2016 | 18 | 2016 |
| Deciphering innovative principles for optimal electric brushless DC permanent magnet motor design K Deb, K Sindhya 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 17 | 2008 |
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityBekræftet mail på egr.msu.edu
