位置：成果数据库 > 会议 > 会议详情页
Performance Evaluation of Dynamic Multi-Swarm Particle Swarm Optimizer with Different Constraint Han
  • 所属机构名称：郑州大学
  • 会议名称：2013 IEEE Symposium Series on Computational Intelligence
  • 成果类型：会议
  • 相关项目：新型动态自适应粒子群优化算法的研究
作者： J. J. Liang|H. Song|B. Y. Qu|
同会议论文项目
新型动态自适应粒子群优化算法的研究
期刊论文 15 会议论文 22
同项目会议论文
Analyzing conformation of fusion protein on bivalent single-chain antibody with (Gly4Ser)
A dynamic multi-swarm particle swarm optimizer for blocking flow shop scheduling
A hybrid discrete harmony search algorithm for blocking flow shop scheduling
Logistic Distribution Center Location Using MCPSO Algorithm
Empirical Study of Parameter Selection for Multi-swarm Cooperative Particle Swarm Optimizer
Improvement of grayscale image segmentation based on PSO algorithm
A hybrid particle swarm optimization algorithm for bi-criteria flexible job-shop scheduling problem
Control parameters self-adaptation in differential evolution based on intrisic structure information
Coevolutionary comprehensive learning particle swarm optimizer
Large-scale Portfolio Optimization Using Multi-objective Dynamic Mutli-Swarm Particle Swarm Optimize
Memetic fitness Euclidean-distance particle swarm optimization for multi-modal optimization
Strategy adaptative memetic crowding differential evolution for multimodal optimization
A novel discrete harmony search algorithm for scheduling lot-streaming flow shops
Multiobjective dynamic multi-swarm particle swarm optimization for environmental/economic dispatch p
An improved harmony search algorithm for multi-dimensional function optimization problem
An improved differential evolution for constrained optimization with dynamic constraint-handling mec
Improved 2D maximum entropy threshold segmentation method based on PSO
Path planning based on dynamic multi-swarm particle swarm optimizer with crossover
Differential evolution with dynamic constraint-handling mechanism
Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization
Real coded feature selection integrated with self-adaptive differential evolution algorithm