| An improved shuffled frog-leaping algorithm with extremal optimisation for continuous optimisation X Li, J Luo, MR Chen, N Wang Information Sciences 192, 143-151, 2012 | 113 | 2012 |
| An artificial bee colony algorithm for multi-objective optimisation J Luo, Q Liu, Y Yang, X Li, M Chen, W Cao Applied Soft Computing 50, 235-251, 2017 | 91 | 2017 |
| A novel hybrid shuffled frog leaping algorithm for vehicle routing problem with time windows J Luo, X Li, MR Chen, H Liu Information Sciences 316, 266-292, 2015 | 83 | 2015 |
| Hybrid shuffled frog leaping algorithm for energy-efficient dynamic consolidation of virtual machines in cloud data centers J Luo, X Li, M Chen Expert Systems with Applications 41 (13), 5804-5816, 2014 | 78 | 2014 |
| Improved shuffled frog leaping algorithm and its multi-phase model for multi-depot vehicle routing problem J Luo, MR Chen Expert Systems with Applications 41 (5), 2535-2545, 2014 | 64 | 2014 |
| Evolutionary optimization of expensive multiobjective problems with co-sub-Pareto front Gaussian process surrogates J Luo, A Gupta, YS Ong, Z Wang IEEE transactions on cybernetics 49 (5), 1708-1721, 2018 | 53 | 2018 |
| Multi-phase modified shuffled frog leaping algorithm with extremal optimization for the MDVRP and the MDVRPTW J Luo, MR Chen Computers & Industrial Engineering 72, 84-97, 2014 | 38 | 2014 |
| A decomposition-based multi-objective evolutionary algorithm with quality indicator J Luo, Y Yang, X Li, Q Liu, M Chen, K Gao Swarm and evolutionary computation 39, 339-355, 2018 | 30 | 2018 |
| A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization J Luo, Y Yang, Q Liu, X Li, M Chen, K Gao Information Sciences 448, 164-186, 2018 | 25 | 2018 |
| Improved shuffled frog leaping algorithm for solving CVRP JP Luo, X Li, MR Chen 电子与信息学报 33 (2), 429-434, 2011 | 24 | 2011 |
| The Markov model of shuffled frog leaping algorithm and its convergence analysis J Luo, X Li, M Chen ACTA ELECTONICA SINICA 38 (12), 2875, 2010 | 21 | 2010 |
| A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization J Luo, X Huang, Y Yang, X Li, Z Wang, J Feng Information Sciences 514, 166-202, 2020 | 15 | 2020 |
| Discrete harmony search algorithm for scheduling and rescheduling the reprocessing problems in remanufacturing: a case study K Gao, L Wang, J Luo, H Jiang, A Sadollah, Q Pan Engineering Optimization 50 (6), 965-981, 2018 | 15 | 2018 |
| A novel hybrid algorithm for global optimization based on EO and SFLA J Luo, MR Chen, X Li 2009 4th IEEE Conference on Industrial Electronics and Applications, 1935-1939, 2009 | 12 | 2009 |
| Multi-phase meta-heuristic for multi-depots vehicle routing problem J Luo, X Li, MR Chen Journal of Software Engineering and Applications 6 (3B), 82, 2013 | 11 | 2013 |
| Study on trajectory and convergence analysis of shuffled frog leaping algorithm and its improved algorithm J Luo, M Chen Signal Processing 26 (9), 1428-1433, 2010 | 9 | 2010 |
| Improved shuffled frog leaping algorithm for solving TSP JP Luo, X Li Journal of Shenzhen University Science and Engineering 27 (2), 173-179, 2010 | 8 | 2010 |
| A novel artificial bee colony algorithm with integration of extremal optimization for numerical optimization problems MR Chen, W Zeng, GQ Zeng, X Li, JP Luo 2014 IEEE congress on evolutionary computation (CEC), 242-249, 2014 | 7 | 2014 |
| Guaranteed QoS resource scheduling scheme based on improved shuffled frog leaping algorithm in cloud environment J Luo, X Li, M Chen Jisuanji Gongcheng yu Yingyong(Computer Engineering and Applications) 48 (29 …, 2012 | 7 | 2012 |
| Balancing performance between the decision space and the objective space in multimodal multiobjective optimization Q Yang, Z Wang, J Luo, Q He Memetic Computing 13 (1), 31-47, 2021 | 6 | 2021 |
Kaizhou GaoMacau University of Science and TechnologyVerified email at e.ntu.edu.sg
