luo jianping
Title
Cited by
Cited by
Year
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
1042012
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
672014
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
642017
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
642015
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
532014
The Markov model of shuffled frog leaping algorithm and its convergence analysis
J Luo, X Li, M Chen
Dianzi Xuebao(Acta Electronica Sinica) 38 (12), 2875-2880, 2010
292010
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
252014
Improved shuffled frog leaping algorithm for solving CVRP
JP Luo, X Li, MR Chen
Dianzi Yu Xinxi Xuebao(Journal of Electronics and Information Technology) 33 …, 2011
222011
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
202018
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
192018
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
172018
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
122009
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
102018
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
102013
Study on trajectory and convergence analysis of shuffled frog leaping algorithm and its improved algorithm
ZXY WrC
Signal Processing 26 (9), 2010
92010
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
72012
Improved shuffled frog leaping algorithm for solving TSP
JP Luo, X Li
Journal of Shenzhen University Science and Engineering 27 (2), 173-179, 2010
72010
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
62014
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
42020
A many-objective evolutionary algorithm with epsilon-indicator direction vector
Y Yang, J Luo, L Huang, Q Liu
Applied Soft Computing 76, 326-355, 2019
32019
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