| Evolutionary optimization in uncertain environments-a survey Y Jin, J Branke IEEE Transactions on Evolutionary Computation 9 (3), 303-317, 2005 | 1729 | 2005 |
| A comprehensive survey of fitness approximation in evolutionary computation Y Jin Soft computing 9 (1), 3-12, 2005 | 1288 | 2005 |
| Surrogate-assisted evolutionary computation: Recent advances and future challenges Y Jin Swarm and Evolutionary Computation 1 (2), 61-70, 2011 | 828 | 2011 |
| A framework for evolutionary optimization with approximate fitness functions Y Jin, M Olhofer, B Sendhoff IEEE Transactions on Evolutionary Computation 6 (5), 481-494, 2002 | 675 | 2002 |
| RM-MEDA: A regularity model-based multiobjective estimation of distribution algorithm Q Zhang, A Zhou, Y Jin IEEE Transactions on Evolutionary Computation 12 (1), 41-63, 2008 | 651 | 2008 |
| A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization R Cheng, Y Jin, O Markus, B Sendhoff IEEE Transactions on Evolutionary Computation 20 (5), 773 - 791, 2016 | 602 | 2016 |
| Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement Y Jin IEEE Transactions on Fuzzy Systems 8 (2), 212-221, 2000 | 575 | 2000 |
| PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization Y Tian, R Cheng, X Zhang, Y Jin IEEE Computational Intelligence Magazine 12 (4), 73 - 87, 2017 | 487 | 2017 |
| A Knee Point Driven Evolutionary Algorithm for Many-Objective Optimization X Zhang, Y Tian, Y Jin IEEE Transactions on Evolutionary Computation 19 (6), 761-776, 2015 | 443 | 2015 |
| A social learning particle swarm optimization algorithm for scalable optimization R Cheng, Y Jin Information Sciences 291, 43-60, 2015 | 403 | 2015 |
| Pareto-based multiobjective machine learning: An overview and case studies Y Jin, B Sendhoff IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2008 | 380 | 2008 |
| A Competitive Swarm Optimizer for Large Scale Optimization. R Cheng, Y Jin IEEE Transactions on Cybernetics 45 (2), 191-204, 2015 | 379 | 2015 |
| Generalizing surrogate-assisted evolutionary computation D Lim, Y Jin, YS Ong, B Sendhoff IEEE Transactions on Evolutionary Computation 14 (3), 329-355, 2009 | 360 | 2009 |
| A critical survey of performance indices for multi-objective optimisation T Okabe, Y Jin, B Sendhoff The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 2, 878-885, 2003 | 354 | 2003 |
| An Efficient Approach to Non-dominated Sorting for Evolutionary Multi-objective Optimization X Zhang, Y Tian, R Cheng, Y Jin IEEE Transactions on Evolutionary Computation 19 (2), 201-213, 2015 | 329 | 2015 |
| Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how? Y Jin, M Olhofer, B Sendhoff Genetic and Evolutionary Computation Conference GECCO., 1042-1049, 2001 | 293 | 2001 |
| Trade-off between performance and robustness: An evolutionary multiobjective approach Y Jin, B Sendhoff Evolutionary Multi-Criterion Optimization, LNCS 2632, 237-251, 2003 | 270 | 2003 |
| On generating fc/sup 3/fuzzy rule systems from data using evolution strategies Y Jin, W Von Seelen, B Sendhoff IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999 | 267 | 1999 |
| Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms K Foli, T Okabe, M Olhofer, Y Jin, B Sendhoff International Journal of Heat and Mass Transfer 49 (5-6), 1090-1099, 2006 | 262 | 2006 |
| Efficient hierarchical parallel genetic algorithms using grid computing D Lim, YS Ong, Y Jin, B Sendhoff, BS Lee Future Generation Computer Systems 23 (4), 658-670, 2007 | 250 | 2007 |
Bernhard SendhoffHonda Research Institute Europe確認したメール アドレス: honda-ri.de
