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top2 of CEC2017
说明: CEC2017前2名的MATLAB算法实现
有EBOwithCMAR和jSO
各种参数都可以调整,包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top2 of cec217.
There are ebowithcmar; JSO
Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)
- 2020-05-07 16:29:30下载
- 积分:1
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FPA
说明: 基于变异策略的改进型花朵授粉算法,里边集成了粒子群算法、蝙蝠算法以及定向变异策略,进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)
- 2020-11-18 16:09:38下载
- 积分:1
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yiqunsuanfa
蚁群算法的一个函数寻优案例 带约束条件 可运行出来(A function optimization case of ant colony algorithm with constraints can be run out)
- 2019-01-13 11:38:18下载
- 积分:1
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GSA
引力搜索算法优化函数,可以运行,适合学习这个算法用(The gravitational search algorithm optimizes functions that can be run.)
- 2018-11-01 13:19:10下载
- 积分:1
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ALO
说明: 蚁狮优化算法是一种群智能优化算法,调节参数少,易于实现。(Ant lion algorithm is a new meta heuristic swarm intelligence algorithm proposed by mirjalili in 2015)
- 2021-02-17 09:47:37下载
- 积分:1
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NSGA-III
说明: NSGA-III evolutionary algorithm using MATLAB
- 2021-04-21 21:38:49下载
- 积分:1
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带罚函数的自适应粒子群算法.
说明: 含有约束方程 求最值所用的罚函数+粒子群优化算法(Penalty function + particle swarm optimization algorithm for using the constraint equation to find the maximum value)
- 2019-05-05 19:49:37下载
- 积分:1
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XPSO
说明: 基于多样本和遗忘能力的扩展粒子群算法,关于粒子群改进的代码,提供给大家学习。(An expanded particle swarm optimization based on multi-exemplar and forgetting ability)
- 2021-01-31 18:58:36下载
- 积分:1
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group algorithm
说明: 通过群算法(BSO和CSO),实现寻优的功能。(Through group algorithm (BSO and CSO), the optimization function is realized.)
- 2019-05-12 13:13:14下载
- 积分:1
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CEC 2017 bound constrained benchmarks
说明: CEC2017前几名的MATLAB算法实现
有EBOwithCMAR; jSO; LSHADE_SPACMA; LSHADE-cnEpSin
各种参数都可以调整,包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top few of cec217.
There are ebowithcmar; JSO; lshade_spacma; lshade cnepsin.
Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)
- 2021-04-21 15:08:49下载
- 积分:1