| A surrogate-assisted evolution strategy for constrained multi-objective optimization R Datta, RG Regis Expert Systems with Applications 57, 270-284, 2016 | 113 | 2016 |
| Analysis and design optimization of a robotic gripper using multiobjective genetic algorithm R Datta, S Pradhan, B Bhattacharya IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (1), 16-26, 2015 | 96 | 2015 |
| A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach K Deb, R Datta IEEE congress on evolutionary computation, 1-8, 2010 | 86 | 2010 |
| Hybrid evolutionary multi-objective optimization and analysis of machining operations K Deb, R Datta Engineering Optimization 44 (6), 685-706, 2012 | 66 | 2012 |
| On neural network activation functions and optimizers in relation to polynomial regression J Pomerat, A Segev, R Datta 2019 IEEE International Conference on Big Data (Big Data), 6183-6185, 2019 | 64 | 2019 |
| A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach K Deb, R Datta Engineering Optimization 45 (5), 503-527, 2013 | 61 | 2013 |
| Hybrid gradient projection based Genetic Algorithms for constrained optimization A Saha, R Datta, K Deb IEEE Congress on Evolutionary Computation, 1-8, 2010 | 55* | 2010 |
| Evolutionary constrained optimization R Datta, K Deb Springer, 2014 | 54 | 2014 |
| Recent Advances in Evolutionary Multi-objective Optimization S Bechikh, R Datta, A Gupta Springer 20, 200, 2017 | 52 | 2017 |
| A hybrid evolutionary multi-objective and SQP based procedure for constrained optimization K Deb, S Lele, R Datta Advances in Computation and Intelligence: Second International Symposium …, 2007 | 41 | 2007 |
| Optimization of turning process parameters using multi-objective evolutionary algorithm R Datta, A Majumder IEEE Congress on Evolutionary Computation, 1-6, 2010 | 36 | 2010 |
| Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach R Datta, K Deb Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 35 | 2011 |
| Multi-objective optimization: classical and evolutionary approaches M Elarbi, S Bechikh, L Ben Said, R Datta Recent advances in evolutionary multi-objective optimization, 1-30, 2017 | 34 | 2017 |
| A classical-cum-evolutionary multi-objective optimization for optimal machining parameters R Datta, K Deb 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 607-612, 2009 | 33 | 2009 |
| An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach R Datta, K Deb 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 30 | 2012 |
| Topology optimization of compliant structures and mechanisms using constructive solid geometry for 2-d and 3-d applications A Pandey, R Datta, B Bhattacharya Soft Computing 21, 1157-1179, 2017 | 21 | 2017 |
| Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach R Datta, K Deb 2013 IEEE Congress on Evolutionary Computation, 2720-2727, 2013 | 20 | 2013 |
| A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach R Datta, K Deb, A Segev 2017 IEEE Congress on Evolutionary Computation (CEC), 317-324, 2017 | 19 | 2017 |
| Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications R Datta, MS Bittermann, K Deb, Ö Ciftcioglu 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 15 | 2012 |
| An evolutionary algorithm based pattern search approach for constrained optimization R Datta, K Deb, MFP Costa, A Gaspar-Cunha 2013 IEEE Congress on Evolutionary Computation, 1355-1362, 2013 | 13 | 2013 |
Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State University在 egr.msu.edu 的电子邮件经过验证
