郑州大学计算智能实验室

Computational Intelligence Laboratory

Code



  • 2020-SWEVO-MMODE_CSCDJ. Liang, K. J. Qiao, C. T. Yue, K. J. Yu, B. Y. Qu, R. Xu, Z. M. Li, Y. Hu ‖ A Clustering-Based Differential Evolution Algorithm for Solving Multimodal Multi-Objective Optimization Problems ‖ Swarm and Evolutionary Computation

  • 2020-ASOC-SS-MOPSO(B. Y. Qu, C. Li, J. Liang, L. Yan, K. J. Yu, Y. S. Zhu ‖ A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems ‖ Applied Soft Computing)

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

  • 2019-SWEVO-MMODEJ. Liang, W. Xu, C. Yue, K. Yu, H. Song, O. D. Crisalle, B. Qu ‖ Multimodal multiobjective optimization with differential evolution ‖ Swarm and Evolutionary Computation)

  • 2019-SCIS-MMOPIOY. Hu, J. Wang, J. Liang, K. Yu, H. Song, Q. Guo, C. Yue, Y. Wang ‖ 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, Z. Cheng, H. Wang ‖ Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models ‖ Applied Energy)

  • 2018-ICSI-SMPSO+MMJ. Liang, Q. Q. Guo, C. T. Yue, B. Y. Qu, K. J. Yu ‖ 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_SCDC. T. Yue, B. Y. Qu, J. J. Liang ‖ A Multi-objective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multi-objective Problems ‖ IEEE Transactions on Evolutionary Computation

  • 2017-ECM-IJAYAK. J. Yu, J. J. Liang, B. Y. Qu, X. Chen, H. Wang ‖  Parameters identification of photovoltaic models using an improved JAYA optimization algorithm ‖ Energy Conversion & Management

  • 2017-ASOC-EPSON. Lynn , P. N. Suganthan ‖ Ensemble particle swarm optimizer ‖ Applied Soft Computing

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

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

  • 2011-ESWA-DMS-PSO+HSS. Z. Zhao, P. N. Suganthan, Q. K. Pan, M. F. Tasgetiren ‖ 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 optimizer ‖ Engineering Optimization

  • 2008-CEC-DMS_PSOS. Z. Zhao, J. J. Liang, P. N. Suganthan, M. F. Tasgetiren ‖  Dynamic multi-swarm particle swarm optimizer with local search for large scale global optimization ‖ CEC 2008

  • 2006-IEEE-TEC-CLPSOJ. J. Liang, A. K. Qin, P. N. Suganthan, B. Subramanian ‖  Comprehensive learning particle swarm optimizer for global optimization of multimodal functions ‖  IEEE Transactions on Evolutionary Computation

  • 2006-IEEE-PTL-Tree-PSOJ. J. Liang, P. N. Suganthan, C. C. Chan, V. L. Huang ‖  Wavelength detection in FBG sensor network using tree search DMS-PSO ‖ IEEE Photonics Technology Letters

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