搜索资源列表
cpso-HK.rar
- 用matlab语言编的多维粒子群代吗，共参考,Matlab language made use of multi-dimensional particle swarm you on behalf of a total of reference
jmetal.2.2.tar
- 这是最新的多目标进化算法包V2.2，这个集成包包含了近期的流行的，常用的多目标进化算法，包括NSGA2,SPEA2,PEAS2,以及多目标粒子群算法，另外还集成了单目标进化算法-This is a latest multi-objective evolutionary algorithm package V2.2, the integrated package includes a recent popular, commonly used in multi-objective evolutio
mopsoGECCO
- 多目标粒子群算法程序，感兴趣的可以进去-Multi-objective particle swarm optimization procedures can be of interest to go look at the
MOPSO-matlab
- 多目标粒子群优化算法的matlab版本。最经典的多目标进化算法！ MOPSO-Multi-objective particle swarm optimization algorithm using matlab. MOPSO
Multiobjective-pso
- 多目标问题的粒子群优化算法实现，毕设时设计的，通过运行！-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
Multiagent_Systems_and_Distributed_AI
- 介绍分布式人工智能的不错的入门书籍，主要利用分布式人工智能技术来构建multi－agent系统-Distributed artificial intelligence good introduction introductory books, the main use of distributed artificial intelligence technologies to build multi-agent system ... ...
pso3
- 带交叉因子的改进粒子群优化算法，算法用于示解多维无约束优化问题，收敛性强。-With cross-factor improvement of particle swarm optimization algorithm for multi-dimensional solution that unconstrained optimization problem, convergence is strong.
mopsoGECCO
- Adaptive Multi-Objective Particle Swarm Optimizer
mopso
- 此程序为多目标粒子群程序，开发软件为Visual C-This procedure for the multi-objective particle swarm procedures, to develop software for the Visual C++
mopsoPDF
- 有关多目标粒子群算法的论文，想研究多目标的可以参考-Of the multi-objective particle swarm optimization of the papers, I would like to research objectives can refer to
opt4j-2.0
- Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. The Opt4J framework currently includes a multi-obje
GTPSO
- 提出一种改进的粒子群优化算法———基于全局劣汰策略的混合粒子群优化算法(GTPSO) 。GTPSO在 保持PSO算法快速收敛的基础上,以郭涛算法(GuoA)的寻优机制确保种群的多样性和算法的坚韧性。数值计 算结果表明,对于高维(维数≥10)复杂非凸多峰函数的数值优化问题, GTPSO算法的计算结果均优于GuoA算 法和粒子群优化算法。-An improved particle swarm optimization algorithm--- poor overall survival
QPSO
- 量子粒子群优化算法，采用matlab编程，可实现快速优化多维函数，不易陷入局部最优值-Quantum particle swarm optimization algorithm, using matlab programming, multi-dimensional functions can be optimized for fast, easy to fall into local optimal value
chaospso
- 基于混沌的文化粒子群算法有很好的计算精度可以计算多维方程-Chaotic particle swarm optimization and cultural accuracy are very good multi-dimensional equations can be calculated
Multi-Agent-Particle-Swarm-Algorithm
- 结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology，coordinating strateg
DMS-PSO_code
- 动态多群粒子群代码-基于J.J.Liang2005年得文章-dynamic multi-swarm optimizer
Particle-Swarm
- 基于Pareto支配的多目标粒子群算法程序，用matlab设计实现，已经通过多个公认测试函数测试，结果良好。 -Based on multi-objective particle swarm algorithm Pareto domination, using matlab design implementation, test function has been recognized by a number of tests with good results.
Multi-objective-particle-swarm
- 利用matlab编写的多目标粒子群算法可以很快得到最优值。-Use matlab write multi-objective particle swarm algorithm can quickly obtain optimal value.
Codes-of-BSA-and-CSO
- Chicken Swarm Optimization（CSO）鸡群优化算法，2014年提出的群智能优化算法。 Bird Swarm Algorithm（BSA）鸟群算法，2015年最新的群智能优化算法。 作为两种全新的群智能优化算法，CSO和BSA都具有简单，良好扩展性的特点，是天然的多种群算法！ http://cn.mathworks.com/matlabcentral/profile/authors/3317597-xian-bing-meng 有关算法信息，可在上述网站查询
Multi---objective-PSO
- 基于粒子群算法的多目标优化算法，结构简单，优化效果显著，用于多目标同时优化-Multi-objective particle swarm optimization algorithm, simple structure, optimize the effect is significant, for multi-objective optimization simultaneously