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Particle-swarm-optimization

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  • Update : 2014-04-28
  • Size : 6.88mb
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  • Author :wan****
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Introduction - If you have any usage issues, please Google them yourself
Particle swarm optimization (Particle Swarm Optimization, PSO) was first proposed in 1995 by the Eberhart and Kennedy, it stems from the basic concept study foraging behavior of birds.
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粒子群优化算法\Engineering_Optimization_matlab\B1_ga.m
..............\...............................\B2_sa.m
..............\...............................\B3_pso.m
..............\...............................\B4_hs.m
..............\...............................\B5_firefly.m
..............\...............................\B6_cg.m
..............\...............................\B7_pressure.m
..............\...............................\B7_spring.m
..............\...............................\fa_constrained_demo.m
..............\...............................\license.txt
..............\...............................\ReadMe.txt
..............\...............................\sa_mincon.m
..............\...............................\Yang_Engineering_Optimziation_toc.pdf
..............\PSO Animation\html\PSO.html
..............\.............\....\PSO.png
..............\.............\....\PSO_01.png
..............\.............\....\PSO_eq72807.png
..............\.............\....\PSO_eq76379.png
..............\.............\license.txt
..............\.............\PSO.m
..............\psotb-beta-0.3\ChangeLog.txt
..............\..............\DrawSwarm.m
..............\..............\functions\DeJong.m
..............\..............\.........\Griewank.m
..............\..............\.........\Rastrigrin.m
..............\..............\.........\Rosenbrock.m
..............\..............\get_psoOptions.m
..............\..............\installation-help.pdf
..............\..............\pso.m
..............\..............\Readme.txt
..............\..............\RunExp.m
..............\..............\RunExp1.asv
..............\..............\RunExp1.m
..............\..............\show_psoOptions.m
..............\基于BP神经网络的森林火环境预测方法.pdf
..............\基于无线传感网络的森林火灾监测系统的微粒群优化策略研究.pdf
..............\改进的蚁群聚类算法在森林火灾预测中的应用研究.caj
..............\粒群算法.docx
..............\粒群算法cbf.ppt
..............\PSO Animation\html
..............\psotb-beta-0.3\functions
..............\Engineering_Optimization_matlab
..............\PSO Animation
..............\psotb-beta-0.3
粒子群优化算法
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