搜索资源列表
ACO-PSO
- 蚁群算法（ACO）和粒子群算法（PSO）的混合算法解决旅行商问题（TSP）的matlab代码-Ant colony optimization (ACO) and particle swarm optimization (PSO) of the hybrid algorithm to solve traveling salesman problem (TSP) in matlab code
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- 个集合遗传算法，蚁群算法，粒子群算法的混合算法解决TSP问题的MATLAB程序-Collection of genetic algorithm, ant colony algorithm for hybrid particle swarm optimization algorithm to solve TSP MATLAB program
J8-TCACS-for-Download
- 禁忌搜索与连续蚁群系统的结合，进行单目标寻优，结果非常满意-TCACS is a hybrid optimization algorithm combining Tabu Search (TS) and Continuous Ant Colony System (CACS).
TSP
- 总结的混合粒子群算法、蚁群算法、遗传算法求TSP（旅行商问题）,值得看一看-Summary hybrid particle swarm optimization, ant colony algorithm, genetic algorithm for TSP (traveling salesman problem), it is worth a look
PSO-ACO-TSP
- 采用matlab进行编程，运用粒子群算法及蚁群混合算法解决TSP问题-Using matlab programming, the use of hybrid particle swarm algorithm and ant colony algorithm to solve TSP problem
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- A HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION
APSO-GA-ACO-TSP
- 综合粒子群和蚁群算法，再利用遗传算法中交叉编译算子；再引入模糊技术，形成模糊自适应粒子群和蚁群混合算法，求解TSP问题-Integrated particle swarm and ant colony algorithm, and then genetic algorithm is used to cross compile operator then introduced the fuzzy technology, forming a fuzzy adaptive particle swar
ACO_AIA_PSO
- 综合粒子群和蚁群算法，再利用免疫算法中交叉变异算子；形成ACO-AIA-PSO混合算法，求解TSP问题-Integrated particle swarm and ant colony algorithm, and then use the crossover operator and mutation operator of immune algorithm the formation of ACO-AIA-PSO hybrid algorithm, for solving the TSP
knapsack-problem
- 背包问题即给定一组物品，每种物品都有自己的重量和价格，在限定的总重量内，我们如何选择，才能使得物品的总价格最高。-A hybrid algorithm combining ant colony system with multi-choice Knapsack problem was proposed.
MATLAB路径规划
- 用MATLAB实现复杂环境移动机器人路径规划算法的研究，分别采用了A星算法，迪杰斯特拉算法，蚁群算法以及蚁群寻径迪杰斯特拉优化路径的混合算法，并通过仿真进行验证。(Research and implementation of complex environment of mobile robot path planning algorithm with MATLAB, respectively, using the A star algorithm, Dijkstra algorithm, an
混合遗传蚁群HGIACA
- 智能优化方法--混合遗传蚁群算法，结合了蚁群算法和遗传算法(Intelligent optimization method, hybrid genetic ant colony algorithm, combines ant colony algorithm and genetic algorithm.)
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- 基于蚁群算法的 TSP 求解，分别采用蚁群算法和蚁群算法-粒子群混合算法进行优化求解，使用不同的交叉和变异适应度函数更新粒子，从而实现 TSP问题的优化求解，更加逼近实际问题。(Based on the TSP solution of ant colony algorithm, ant colony algorithm and hybrid algorithm of ant colony algorithm particle swarm optimization are used to solv