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蚁群

于 2018-01-19 发布 文件大小:9KB
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下载积分: 1 下载次数: 3

代码说明:

  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)

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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
  • minmin
    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
  • yiqunsuanfa
    说明:  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
  • FJSP-Dynamic-master
    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
  • 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
  • CodeF1(解压密码见源链接)
    说明:  能够规划三维环境下的最优路径,能够满足多约束条件的目标规划(optimal path planning in three-dimensional enviroment)
    2019-09-20 12:49:31下载
    积分:1
  • MMAS
    说明:  在信息素更新上面对于蚁群算法所做出的改进,(In pheromone update, the improvement of ant colony algorithm is made,)
    2020-07-28 18:58:41下载
    积分:1
  • compute_DC_BC_NC_CoEWC_PEC_WDC_methods_results
    根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)
    2020-06-23 17:40:02下载
    积分:1
  • 带罚函数的自适应粒子群.
    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
  • GAs
    说明:  使用matlab 实现遗传算法,算法采用二进制交叉变异,对于初学者很好理解(Use matlab to implement genetic algorithm, the algorithm uses binary crossover mutation, which is well understood for beginners)
    2020-08-21 10:48:05下载
    积分:1
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