郑州大学计算智能实验室

Computational Intelligence Laboratory

Code


  • 2020-SWEVO-MMODE_CSCD(Liang J, Qiao K J, Yue C, et al. A Clustering-Based Differential Evolution Algorithm for Solving Multimodal Multi-Objective Optimization ProblemsSwarm and Evolutionary Computation

  • 2020-ASOC-SS-MOPSO(Qu B, Li C, Liang J, et al. A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems Applied Soft Computing

  • 2019-IEEJ-TEEE-IMOEA/D-CH(Zhu Y , Qiao B , Dong Y , et al. Multiobjective dynamic economic emission dispatch using evolutionary algorithm based on decomposition IEEJ Transactions on Electrical & Electronic Engineering)

  • 2019-SWEVO-MMODE(Liang J, Xu W, Yue C, et al. Multimodal multiobjective optimization with differential evolution Swarm and Evolutionary Computation

  • 2019-SCIS-MMOPIO(Hu Y, Wang J, Liang J, et al. A self-organizing multimodal multi-objective pigeon-inspired optimization algorithm SCIENCE CHINA Information Sciences

  • 2018-APEN-MLBSA(K. J. Yu, J. J. Liang, B. Y. Qu, et al. Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models Applied Energy)

  • 2018-ICSI-SMPSO+MM(Liang J, Guo Q, Yue C, et al. A Self-organizing Multi-objective Particle Swarm Optimization Algorithm for Multimodal Multi-objective Problems International Conference on Swarm Intelligence)

  • 2017-IEEE-TEVC-MO_Ring_PSO_SCD(Yue C, Qu B, Liang J. A Multi-objective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multi-objective Problems IEEE Transactions on Evolutionary Computation)

  • 2017-ECM-IJAYA(K. J. Yu, J.J. Liang, B.Y. Qu, et al. Parameters identification of photovoltaic models using an improved JAYA optimization algorithm Energy Conversion & Management)

  • 2017-ASOC-EPSO(Lynn N, Suganthan P N. Ensemble particle swarm optimizer Applied Soft Computing)

  • 2015-SWEVO-HCLPSO(Lynn N, Suganthan P N. Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation Swarm & Evolutionary Computation)

  • 2013-TEC-LIPSQu B Y, Suganthan P N, Das S. A distance-based locally informed particle swarm model for multimodal optimization IEEE Transactions on Evolutionary Computation

  • 2011-ESWA-DMS-PSO+HS(S. Z. Zhao, P.N. Suganthan, Quan-Ke Pan, et al. ‖ Dynamic multi-swarm particle swarm optimizer with harmony search ‖ Expert Systems with Applications)

  • 2011-Eng-Opt-2LB-MOPSOS. Z. Zhao, P. N. Suganthan.Two-lbests based multi-objective particle swarm optimizerEngineering Optimization

  • 2008-CEC-DMS_PSOZhao S Z, Liang J J, Suganthan P N, et al.Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimizationCEC 2008

  • 2006-IEEE-TEVC-CLPSOLiang J J, Qin A K, Suganthan P N, et al.Comprehensive learning particle swarm optimizer for global optimization of multimodal functionsIEEE Transactions on Evolutionary Computation

  • 2006-IEEE-PTL-Tree-PSOLiang J J, Suganthan P N, Chan C C, et al.Wavelength detection in FBG sensor network using tree search DMS-PSOIEEE Photonics Technology Letters

  • 2006-CEC-DMS-PSO(Liang J J, Suganthan P N. ‖ Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism ‖ IEEE International Conference on Evolutionary Computation)