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遗传算法路径规划
利用遗传算法实现机器人最优路径规划,优化算法步骤实现迭代次数最第,包括文档说明和算法说明(The genetic algorithm is used to realize the optimal path planning of robots, and the optimal algorithm steps are used to achieve the highest number of iterations, including document description and algorithm description.)
- 2019-01-07 15:49:34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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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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matlab实现人工蜂群优化(ABC)算法
说明: matlab实现人工蜂群优化(ABC)算法,用于最优化计算(MATLAB realizes artificial bee colony optimization (ABC) algorithm for optimization calculation)
- 2020-11-20 10:29:38下载
- 积分:1
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Toolbox_all_algorithms
这是MATLAB中最新的优化工具箱,它利用最近提出的7种算法来优化您的问题。
此工具箱中提供的算法包括:
灰狼优化器(GWO),蚂蚁狮子优化器(ALO),多功能优化器(MVO),蜻蜓算法(DA),蛾火焰算法(MFO),正弦余弦算法(SCA)和鲸鱼优化算法(WOA) 。(This is the latest optimization toolbox in MATLAB, which optimizes your problem using seven algorithms recently proposed.
The algorithms provided in this toolbox include:
GWO, ALO, MVO, DA, MFO, SCA and WOA.)
- 2019-03-27 14:54:43下载
- 积分:1
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FJSP-Dynamic-master
说明: 解决车间资源分配的动态调度问题,采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)
- 2020-06-16 11:20:02下载
- 积分:1
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TSP-ASrank(基于排序(或列)的蚂蚁系统)
说明: 对于蚁群算法做出的改进,按信息素大小进行排序(For the improvement of ant colony algorithm, it is sorted by pheromone size)
- 2021-04-21 15:18:49下载
- 积分:1
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GA
说明: 经典遗传算法案例,利用遗传算法求解铁罐问题(genetic algorithm optimization)
- 2019-08-17 11:06:01下载
- 积分:1
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蚁群
用蚁群算法来解决TSP问题的matlab代码,用的蚁周模型,参数为实验选择的最优参数(Ant arithmetic and TSP problem)
- 2018-01-19 14:29:02下载
- 积分:1
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minmin算法
说明: minmin算法,适用于任务调度,可以与GA以及PSO等进行比较,是最基础的算法。(Minmin algorithm is suitable for task scheduling.)
- 2020-12-22 10:19:07下载
- 积分:1