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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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蚁群算法求解TSP问题程序
说明： 蚁群算法求解TSP问题程序,代码简单明了，易于理解。(Ant colony algorithm for TSP)
- 2020-07-07 14:50:25下载
- 积分：1
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基于人群搜索算法的函数优化
包含人群搜索算法源程序，和rastrigin、Schaffer和Spher三个函数的优化，并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)
- 2019-06-27 01:37:39下载
- 积分：1
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PSO粒子群5种改进算法实例源码
说明： 用MATLAB编写测试函数的五种PSO改进算法(Five PSO improved algorithms with test functions written in MATLAB)
- 2020-12-03 22:49:25下载
- 积分：1
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改进的蚁群算法
在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)
- 2019-03-27 21:11:48下载
- 积分：1
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用matlab实现levy概率分布
说明： 用matlab实现levy概率分布，并作图，用于进化算法中调整步长(Using MATLAB to realize levy probability distribution and make a map for adjusting step size in evolutionary algorithm)
- 2021-04-07 18:09:01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
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myAntBp
采用蚁群算法对BP神经网络进行优化，并结合实例进行应用验证。(The ant colony algorithm is used to optimize the BP neural network, and an example is used to validate it.)
- 2020-10-28 13:19:58下载
- 积分：1
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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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灰狼优化算法源代码
说明： 灰狼算法,一种新型群体智能优化算法，将改进的灰狼算法优化神经网络模型，提高收敛速度，避免陷入局部最优解(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization algorithm that imitates the leadership of gray wolf population and hunting mechanism in nature)
- 2020-03-07 14:14:59下载
- 积分：1
