| Problem definitions and evaluation criteria for the CEC 2017 competition on constrained real-parameter optimization G Wu, R Mallipeddi, PN Suganthan National University of Defense Technology, Changsha, Hunan, PR China and …, 2017 | 589 | 2017 |
| Differential evolution with multi-population based ensemble of mutation strategies G Wu, R Mallipeddi, PN Suganthan, R Wang, H Chen Information Sciences 329, 329-345, 2016 | 587 | 2016 |
| A test-suite of non-convex constrained optimization problems from the real-world and some baseline results A Kumar, G Wu, MZ Ali, R Mallipeddi, PN Suganthan, S Das Swarm and evolutionary computation 56, 100693, 2020 | 401 | 2020 |
| Ensemble of differential evolution variants G Wu, X Shen, H Li, H Chen, A Lin, PN Suganthan Information Sciences 423, 172-186, 2018 | 386 | 2018 |
| Ensemble strategies for population-based optimization algorithms–A survey G Wu, R Mallipeddi, PN Suganthan Swarm and evolutionary computation 44, 695-711, 2019 | 281 | 2019 |
| Problem definitions and evaluation criteria for the CEC 2017 competition and special session on constrained single objective real-parameter optimization G Wu, R Mallipeddi, P Suganthan Nanyang Technol. Univ., Singapore, Tech. Rep, 1-18, 2016 | 201 | 2016 |
| Agile Earth observation satellite scheduling over 20 years: formulations, methods and future directions X Wang, G Wu, L Xing, W Pedrycz IEEE Systems Journal, 2020 | 193 | 2020 |
| Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm PP Biswas, PN Suganthan, G Wu, GAJ Amaratunga Renewable Energy, 2018 | 189 | 2018 |
| A benchmark-suite of real-world constrained multi-objective optimization problems and some baseline results A Kumar, G Wu, MZ Ali, Q Luo, R Mallipeddi, PN Suganthan, S Das Swarm and Evolutionary Computation 67, 100961, 2021 | 178 | 2021 |
| A two-phase scheduling method with the consideration of task clustering for earth observing satellites G Wu, J Liu, M Ma, D Qiu Computers & Operations Research 40 (7), 1884–1894, 2013 | 162 | 2013 |
| Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems H Chen, Y Tian, W Pedrycz, G Wu, R Wang, L Wang IEEE transactions on cybernetics, 2019 | 159 | 2019 |
| Two-echelon routing problem for parcel delivery by cooperated truck and drone Y Liu, Z Liu, J Shi, G Wu, W Pedrycz IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (12), 7450-7465, 2020 | 156 | 2020 |
| A variable reduction strategy for evolutionary algorithms handling equality constraints G Wu, W Pedrycz, PN Suganthan, R Mallipeddi Applied soft computing 37, 774-786, 2015 | 135 | 2015 |
| Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms Z Ma, G Wu, PN Suganthan, A Song, Q Luo Swarm and Evolutionary Computation 77, 101248, 2023 | 123 | 2023 |
| Global genetic learning particle swarm optimization with diversity enhancement by ring topology A Lin, W Sun, H Yu, G Wu, H Tang Swarm and evolutionary computation 44, 571-583, 2019 | 119 | 2019 |
| A generic Markov decision process model and reinforcement learning method for scheduling agile earth observation satellites Y He, L Xing, Y Chen, W Pedrycz, L Wang, G Wu IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (3), 1463-1474, 2020 | 118 | 2020 |
| Across neighborhood search for numerical optimization G Wu Information Sciences 329, 597-618, 2016 | 118 | 2016 |
| Deep reinforcement learning for solving vehicle routing problems with backhauls C Wang, Z Cao, Y Wu, L Teng, G Wu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 112 | 2024 |
| Coordinated planning of heterogeneous earth observation resources G Wu, W Pedrycz, H Li, M Ma, J Liu IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (1), 109-125, 2015 | 109 | 2015 |
| An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem B Li, G Wu, Y He, M Fan, W Pedrycz IEEE/CAA Journal of Automatica Sinica, 2022 | 102 | 2022 |
Witold PedryczPatvirtintas el. paštas ualberta.ca