| A many-objective evolutionary algorithm using a one-by-one selection strategy Y Liu, D Gong, J Sun, Y Jin IEEE Transactions on Cybernetics 47 (9), 2689-2702, 2017 | 271 | 2017 |
| A multimodal multiobjective evolutionary algorithm using two-archive and recombination strategies Y Liu, GG Yen, D Gong IEEE Transactions on Evolutionary Computation 23 (4), 660-674, 2018 | 258 | 2018 |
| Adapting reference vectors and scalarizing functions by growing neural gas to handle irregular Pareto fronts Y Liu, H Ishibuchi, N Masuyama, Y Nojima IEEE Transactions on Evolutionary Computation 24 (3), 439-453, 2019 | 145 | 2019 |
| Many-objective evolutionary optimization based on reference points Y Liu, D Gong, X Sun, Y Zhang Applied Soft Computing 50, 344-355, 2017 | 140 | 2017 |
| Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multi-Modal Multi-Objective Optimization Y Liu, H Ishibuchi, GG Yen, Y Nojima, N Masuyama IEEE Transactions on Evolutionary Computation, 2019 | 139 | 2019 |
| A double-niched evolutionary algorithm and its behavior on polygon-based problems Y Liu, H Ishibuchi, Y Nojima, N Masuyama, K Shang Parallel Problem Solving from Nature–PPSN XV: 15th International Conference …, 2018 | 121 | 2018 |
| Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time Y Han, J Li, H Sang, Y Liu, K Gao, Q Pan Applied Soft Computing 93, 106343, 2020 | 120 | 2020 |
| Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithm X Han, Y Han, Q Chen, J Li, H Sang, Y Liu, Q Pan, Y Nojima Complex system modeling and simulation 1 (3), 198-217, 2021 | 119 | 2021 |
| An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem HX Qin, YY Han, B Zhang, LL Meng, YP Liu, QK Pan, DW Gong Swarm and Evolutionary Computation 69, 100992, 2022 | 94 | 2022 |
| Meta-heuristic algorithm for solving vehicle routing problems with time windows and synchronized visit constraints in prefabricated systems J Li, Y Han, P Duan, Y Han, B Niu, C Li, Z Zheng, Y Liu Journal of Cleaner Production 250, 119464, 2020 | 81 | 2020 |
| A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints HX Qin, YY Han, YP Liu, JQ Li, QK Pan Expert Systems with Applications 201, 117256, 2022 | 68 | 2022 |
| An effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterion X Han, Y Han, B Zhang, H Qin, J Li, Y Liu, D Gong Applied Soft Computing 129, 109502, 2022 | 47 | 2022 |
| Energy-efficient iterative greedy algorithm for the distributed hybrid flow shop scheduling with blocking constraints H Qin, Y Han, Q Chen, L Wang, Y Wang, J Li, Y Liu IEEE Transactions on Emerging Topics in Computational Intelligence 7 (5 …, 2023 | 46 | 2023 |
| Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem H Qin, Y Han, Y Wang, Y Liu, J Li, Q Pan Knowledge-Based Systems 258, 109962, 2022 | 43 | 2022 |
| A new R2 indicator for better hypervolume approximation K Shang, H Ishibuchi, ML Zhang, Y Liu Proceedings of the Genetic and Evolutionary Computation Conference, 745-752, 2018 | 42 | 2018 |
| Searching for local Pareto optimal solutions: A case study on polygon-based problems Y Liu, H Ishibuchi, Y Nojima, N Masuyama, Y Han 2019 IEEE Congress on Evolutionary Computation (CEC), 896-903, 2019 | 36 | 2019 |
| A meta-objective approach for many-objective evolutionary optimization D Gong, Y Liu, GG Yen Evolutionary computation 28 (1), 1-25, 2020 | 33 | 2020 |
| A multi-population multi-objective evolutionary algorithm based on the contribution of decision variables to objectives for large-scale multi/many-objective optimization Y Xu, C Xu, H Zhang, L Huang, Y Liu, Y Nojima, X Zeng IEEE Transactions on Cybernetics 53 (11), 6998-7007, 2022 | 32 | 2022 |
| Topological clustering via adaptive resonance theory with information theoretic learning N Masuyama, CK Loo, H Ishibuchi, N Kubota, Y Nojima, Y Liu IEEE Access 7, 76920-76936, 2019 | 29 | 2019 |
| An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time Y Wang, Y Han, Y Wang, J Li, K Gao, Y Liu Expert Systems with Applications 233, 120909, 2023 | 25 | 2023 |
Yu-Yan HanSchool of Information and Electrical Engineering, China University of Mining and Technologycumt.edu.cn üzerinde doğrulanmış e-posta adresine sahip