搜索资源列表
MOPSO
- multi-objective particle swarm optimization 的很好算法，供学习。-multi-objective particle swarm optimization algorithm is good for learning.
MOEA
- 几种多目标优化算法集合，包括MOEAD，MOPSO，NNIA，NSGA2等-Several multi-objective optimization algorithm set, including MOEAD, MOPSO, NNIA, NSGA2 etc.
MOEA
- 几种多目标优化算法集合，包括MOEAD，MOPSO，NNIA，NSGA2等-Several multi-objective optimization algorithm set, including MOEAD, MOPSO, NNIA, NSGA2 etc.
MOPSO
- multiobjective pso algorithm that give fast and good answer for most optimization problem
CMOPSO2
- Coello Coello等人提出了MOPSO。该算法引入了自适应网格机制的外部种群，不仅对群体的粒子进行变异，而且对粒子的取值范围也进行变异，且变异尺度与种群进化的代数成比例-Handling Multiple Objectives With Particle Swarm Optimization Carlos A. Coello Coello, Member, IEEE, Gregorio Toscano Pulido, and Maximino Salazar Lechuga
CMOPSO1
- Coello Coello等人提出了MOPSO。该程序针对测试函数 1的matlab程序。该算法引入了自适应网格机制的外部种群，不仅对群体的粒子进行变异，而且对粒子的取值范围也进行变异，且变异尺度与种群进化的代数成比例。-Handling Multiple Objectives With Particle Swarm Optimization Carlos A. Coello Coello, Member, IEEE, Gregorio Toscano Pulido, and Maximin
CMOPSO3
- Coello Coello等人提出了MOPSO。该matlab源程序针对test function 3的matlab程序。该算法引入了自适应网格机制的外部种群，不仅对群体的粒子进行变异，而且对粒子的取值范围也进行变异，且变异尺度与种群进化的代数成比例。-reference:Handling Multiple Objectives With Particle Swarm Optimization Carlos A. Coello Coello, Member, IEEE, Gregorio
CMOPSO4
- Coello Coello等人提出了MOPSO。该程序针对test function4的matlab程序。该算法引入了自适应网格机制的外部种群，不仅对群体的粒子进行变异，而且对粒子的取值范围也进行变异，且变异尺度与种群进化的代数成比例。-reference:Handling Multiple Objectives With Particle Swarm Optimization Carlos A. Coello Coello, Member, IEEE, Gregorio Toscano P
CMOPSO5
- Coello Coello等人提出了MOPSO。该程序针对test function 5的matlab程序。该算法引入了自适应网格机制的外部种群，不仅对群体的粒子进行变异，而且对粒子的取值范围也进行变异，且变异尺度与种群进化的代数成比例。-reference:Handling Multiple Objectives With Particle Swarm Optimization Writer:Carlos A. Coello Coello, Member, IEEE, Gregorio Tos
jMetal-CPP-version
- 外国人写的基于C++的单目标和多目标优化源程序jMetal 4.5最新版的C++源程序，包括NSGA-II\SPEA2\MOPSO，以及单目标优化算法-粒子群PSO、差分进化DE等。-C++ version of jMetal 4.5
cMOPSO
- MOPSO经典算法，可解决多目标优化问题-MOPSO classical algorithm, solve multi-objective optimization problem
mopso
- 基于扩展粒子群算法的群机器人多目标搜索，引入动态闭环任务分工，能够并行搜索，提高搜索效率。-Particle swarm optimization algorithm based on extended multi-target search robot group, introducing dynamic closed-loop division of tasks in parallel searches, improve search efficiency.
mization
- Recently more research works are focused on multi-objective particle swarm optimization algorithm (MOPSO) due to its ability of global and local search for solving multi-objective optimization problems (MOOPs) however, most of existing MOPSOs can
MOPSO
- 详细介绍了多目标粒子群算法，并且进行程序的编写-Details of the multi-objective particle swarm optimization, and programming of conduct
MOPSO
- 基于粒子群对PID参数的调节，超调亮小，响应时间短-Based on Particle Swarm Optimization of PID parameters, the overshoot is small and the response time is short.
matlab
- 微粒群算法,基于MATLAB的微粒群算法，经典中的静定- MOPSO-Multi-obj
mopso
- 含有两个适应度函数的多目标粒子群优化算法，可根据需要进行改变-Multi-objective particle swarm containing two fitness function optimization algorithm, can be changed as needed
MOPSO
- 多目标粒子群优化，是一种基于种群的进化算法，每次迭代能产生出一组非劣解，经过适当的扩展可适于求解多目标优化问题。-Multi-objective particle swarm optimization, evolutionary algorithm is a population-based, each iteration produces a set of non-dominated solutions, through appropriate extension may be adapted
MOEAs
- 多种多目标进化算法的集合，包括粒子群算法MOPSO，多目标遗传算法NSGA-II，以及MOEA/D等-a set of MOEAs,including MOPSO, NSGA-II, and MOEA/D.
IM-MOPSO
- 一种改善的多目标粒子群算法，包括了多个实例的实验！-A improved multi-objective particle swarm optimization, including several instaces.