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MySAA
- 平台vs2005 模拟固体退火算法实现144个城市的旅行商问题，可设置具体参数
TSPmonituihuo
- 应用模拟退火最优化算法来解决TSP（旅行商）问题-Application of simulated annealing optimization algorithm to solve the TSP (traveling salesman) problem
1
- 采用模拟退火的算法，解决旅行商问题.tsp问题-cai yong mo ni tui huo suan fa
SA_GA_PSO
- 模拟退火（SA）、遗传算法（GA）、粒子群优化（PSO）解决旅行商问题（TSP）实验 本文件包括源码，实验说明文档，实验总结PPT Have a happy experiment！-Simulated annealing (SA), genetic algorithms (GA), particle swarm optimization (PSO) to solve the traveling salesman problem (TSP) experiment of this docum
2009011308_homework3
- 清华大学人工智能小作业，旅行商问题，模拟退火/遗传算法-Tsinghua University artificial intelligence job, traveling salesman problem
traveling-salesman-problem
- 旅行商问题研究，对初学者对禁忌搜索，蚁群算法，和模拟退火有很大帮助。-Traveling Salesman Problem, for beginners tabu search, ant colony algorithm, and simulated annealing of great help.
TSP(GAaSA)
- 基于模拟退火的遗传算法求解旅行商TSP问题-TSP by GA+SA
MatLab-Script
- 基于启发式(Heuristic)的人工智能算法解决旅行商问题(Traveling Salesman Problem)。关键词：模拟退火，遗传算法。工作环境：matlab-An artificial intelligence algorithm based on heuristic to solve Traveling Salesman Problem(TSP). Key words: Simulated Annealing, Genetic Algorithm. Working environm