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ant
- 蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。-The ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm the the probability type algorithm is a method for finding the optimal path in the graph.
TSP_PSO
- 某一PSO算法优化TSP路径优化的问题，城市已经给定。-TSP scheme in a new version using some conventional PSO algorithm
genetic-algorithms
- 智能优化算法—基因遗传算法解旅行商路径最短-Intelligent optimization algorithms- Genetic Algorithm for TSP
simulated-annealing
- 智能优化算法—模拟退火算法解旅行商路径最短-Intelligent optimization algorithm- simulated annealing algorithm for solving the traveling salesman shortest path
ACO
- 蚁群算法(Ant Colony Optimization,ACO)是一种新颖的组合优化算法,它具有较强的鲁棒性、优良的分布式计算机制、易于与其他方法相结合等优点.包括改进的蚁群算法求解最优路径MATLAB源码，运行环境R2014b-Ant colony algorithm (Ant Colony Optimization, ACO) is a novel combinatorial optimization algorithm that is robust, excellent distribu
TSP双蚁群算法
- 蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为(The ant colony algorithm is a probabilistic algorithm used to find the optimal path. It was proposed by Marco Dorigo in his doctoral dissertation in 1992, inspired by the wa