搜索资源列表
chapter10
- 基于matlab的微粒群优化算法解决多目标的问题。-Matlab-based particle swarm optimization algorithm to solve the multi-objective problem.
path-planning-MOPSO
- 采用粒子群算法，解决不确定性环境中，机器人路径规划问题-Robot path planning in uncertain environment using multi-objective particle swarm optimization
cmopso
- 云多目标粒子群算法，基于matlab环境，可供学习者参考。-Cloud multi-objective particle swarm algorithm, based on the Matlab environment available to learners.
fmopso
- 模糊多目标粒子群算法，基于matlab环境，可供学习者参考。-Fuzzy multi-objective particle swarm algorithm, based on the Matlab environment for learners Reference.
30-cases-in-matlab
- MATLAB智能算法30个案例分析，109页的详细讲解，程序和程序注解，可以直接复制代码。包括遗传算法，基于遗传算法和非线性规划的函数寻优算法，遗传算法工具箱详解及应用，多种群遗传算法的函数优化算法， 基于粒子群算法的多目标搜索算法，基于多层编码遗传算法的车间调度算法，基于遗传模拟退火算法的聚类算法，蚁群算法，支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedur
pso
- 粒子群算法多目标搜索 matlab源程序-Multi-objective particle swarm optimization matlab source
chapter10
- 基于粒子群算法的多目标搜索算法 基于粒子群算法的多目标搜索算法-Multi-target search algorithm based on particle swarm optimization based particle swarm algorithm for multi-target search algorithm
Particle
- 这是自己设计编写的多目标粒子群算法主程序，经过多个函数的测试时有用的，希望对各位有帮助-It is designed and written their own multi-objective particle swarm algorithm main program, useful when multiple function test, and you want to help
main
- 这是多目标粒子群算法的源程序，经过过个函数测试，效果较好，希望对大家有所帮助-This is a multi-objective particle swarm algorithm source code after the function test, the better, we want to help
NSGA-II
- 运行数据是吸纳粒子群算法的精华，是先多目标优化。-Run data to absorb the essence of the particle swarm algorithm is the first multi-objective optimization.
main
- 基于粒子群算法的多目标搜索算法，主要解决背包问题，直接运行即可 -Multi-objective particle swarm optimization-based search algorithm, mainly to solve the knapsack problem, can be run directly
PSO
- 采用基于粒子群的多目标优化算法解决背包问题。-Using multi-objective particle swarm optimization algorithm to solve knapsack problem.
fmopso
- 多目标粒子群算法程序，内附有使用说明，使用方便，较为详细-Multi-objective particle swarm algorithm, containing instructions for use, easy to use, more detailed
lizhiqunsuanfa
- 学习灰色理论方面，估计对你很有帮助，同时有运行截图，基于粒子群优化与灰色系统理论的多目标优化程序-Learn gray theory, we estimate that helpful to you, while running shots, based on particle swarm optimization and gray system theory of multi-objective optimization procedure
mopso
- Multi-Objective Particle Swarm Optimization
LIZIQUN
- java实现多线程，两步粒子群算法，用的时候自己换一下函数-java multi-threaded, two-particle swarm algorithm, when a change in their function
example-of-NSGA
- onventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolution
cpso
- 提出多目标混沌粒子群优化算法并应用于机器人足球防守策略之中。在对方多名队员进攻情况下，通过该策略引导我方队员防守跑位，并选取我方位置最佳队员对对方主攻队员进行截球，从而达到成功防守的目的。-A robot soccer defensive strategy based on multi-objective chaotic particle swarm algorithm is proposed. When two or more opponents attack,
MOPSO
- multi-objective particle swarm optimization 的很好算法，供学习。-multi-objective particle swarm optimization algorithm is good for learning.
GS_CH_MOPSO_Grey
- 多目标非线性约束的粒子群算法，采用灰度理论，混沌理论，动态惩罚函数，可针对任何复杂函数进行优化，效果很好-Nonlinear constrained multi-objective particle swarm algorithm, using gray theory, chaos theory, dynamic penalty function can be optimized for any complex function, the effect is very good