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[OtherTSPmatlab

Description: 关于tsp问题的matlab程序,希望对大家有用 -tsp of the Matlab procedures in the hope that it may be useful to
Platform: | Size: 2512 | Author: 繁荣 | Hits:

[Other resourcetspmatlab

Description: matlab完美解决旅行商问题。蚁群算法。
Platform: | Size: 5696 | Author: 陈西博 | Hits:

[OtherTSPmatlab

Description: 关于tsp问题的matlab程序,希望对大家有用 -tsp of the Matlab procedures in the hope that it may be useful to
Platform: | Size: 2048 | Author: 繁荣 | Hits:

[matlabtspmatlab

Description: matlab完美解决旅行商问题。蚁群算法。-traveling salesman problem matlab perfect solution. Ant colony algorithm.
Platform: | Size: 5120 | Author: 陈西博 | Hits:

[MPITSPmatlab

Description: 用matlab实现的蚁群算法,希望对初学蚁群算法的人有所帮助-Matlab achieved using ant colony algorithm, ant colony algorithm beginner would like to help people
Platform: | Size: 5120 | Author: 叶红 | Hits:

[MiddleWaretspmatlab

Description: 求解tsp问题的遗传算法。可以直接求解TSP只要带入数据,修改特定的参数即可-Solving the problem of genetic algorithm tsp
Platform: | Size: 4096 | Author: wangyulong | Hits:

[matlabTSPMATLAB

Description: 遗传算法求解TSP问题的MATLAB实现。这是一篇非常有新意的论文,对于学习遗传算法非常有用-This paper has resolved the traveling salesman problem(TSP) by virtue of geneitc algorithms(GA)
Platform: | Size: 156672 | Author: 王斌 | Hits:

[matlabTSPMatlab

Description: 这是一个用Matlab程序写的模拟退火算法,用于解决旅行商问题-It s a matlab code for TSP problem using SA Algorithm
Platform: | Size: 2048 | Author: jess | Hits:

[Mathimatics-Numerical algorithmstspmatlab

Description: 31个城市的TSP问题,用蚁群算法编写的程序-TSP problem for 31 cities ,ACO program
Platform: | Size: 3072 | Author: liujiao | Hits:

[Crack Hacktspmatlab

Description:  提出一种改进的禁忌搜索算法来求解背包问题。该算法基于禁忌搜索技术,并采用I&D策略,同时设计了两种针对局 部最优解的变异算子。改进后的算法能有效地弥补标准禁忌算法对初始解依赖的缺陷,同时也避免了搜索停滞的现象。通过对具 体实例和随机问题的测试,表明改进后的禁忌搜索算法有更好的性能。 关-An improved tabu search algorithm to solve knapsack problem. The algorithm is based on tabu search techniques, using I & D strategies, while designed for the local optimal solution of the two kinds of mutation operator. The improved algorithm can effectively compensate for the standard tabu search algorithm depends on the initial solution defect, but also to avoid the phenomenon of search stagnation. Through specific examples and random-question test, indicating that the improved tabu search algorithm has better performance. Guan
Platform: | Size: 38912 | Author: logspace | Hits:

[AI-NN-PRtspmatlab

Description: 用遗传算法解决tsp问题,matlab程序,很好很有用哦-algorithm for multi- objective optimization. It is a very e® ective algorithm but has been generally criticized for its computational complexity,
Platform: | Size: 8845312 | Author: 炯炯 | Hits:

[matlabtspmatlab

Description: tsp问题 一些经典的MATLAB程序 模拟退火算法 遗传算法 望高手指几点-tsp
Platform: | Size: 11264 | Author: liangzhongfa | Hits:

[matlabTSPMatlab

Description: TSP问题(货郎担问题,旅行商问题)的模拟退火算法通用malab源程序 f目标最优值,T最优路线,d距离矩阵,t0初始温度,tf结束温度 - TSP问题(货郎担问题,旅行商问题)的模拟退火算法通用malab源程序 f目标最优值,T最优路线,d距离矩阵,t0初始温度,tf结束温度
Platform: | Size: 32768 | Author: 易豪 | Hits:

[matlabTSPmatlab

Description: 蚁群算法TSP问题matlab源代码,程序是蚁群算法在最短路中的应用,稍加扩展即可应用于机器人路径规划.-Ant colony algorithm TSP matlab source code, and the program is the ant colony algorithm in the most short circuit, the application can be applied to expand a robot path planning.
Platform: | Size: 8192 | Author: honeybr | Hits:

[AI-NN-PRTSPmatlab

Description: 蚁群算法中典型的旅行商问题的源代码,基于matlab环境-Typical ant colony algorithm source code of the traveling salesman problem based on the Matlab environment
Platform: | Size: 1024 | Author: 郭小卉 | Hits:

[matlabTSPMATLAB

Description: matlab ant colony algorithm source code for the TSP
Platform: | Size: 33792 | Author: 梁能 | Hits:

[OthertspMATLAB

Description: matlab遗传算法求解tsp问题源程序-matlab genetic algorithm tsp problem source
Platform: | Size: 5120 | Author: 陆灵芝 | Hits:

[AI-NN-PRTSPMATLAB

Description: 关于蚁群算法的源程序,对于初学者能起到引导入门的作用,易于理解应用。-On ant colony algorithm source code, entry for beginners can play the lead role in the application easier to understand.
Platform: | Size: 2048 | Author: 成亮 | Hits:

[Othertsp_use_simulated_annealing

Description: 模拟退火TSPMatlab实现,Matlab代码(tsp_use_simulated_annealing)
Platform: | Size: 1024 | Author: 你2017 | Hits:

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