搜索资源列表
遗传算法tsp
- 用matlab编写的GA求解vrp-车辆路径问题程序！
GAmatlab.rar
- 利用遗传算法，上线车辆路径的优化。采用了matlab编程，对于初学遗传算法，和matlab的用户，是很适用的,The use of genetic algorithms, on-line vehicle routing optimization. Use of matlab programming, genetic algorithm for the beginner, and matlab users, is very applicable
GA_only-mutation
- 遗传算法解决车辆路径问题，用matlab解答，可以直接运行-Genetic algorithm can solve the vehicle routing problem
GAvrp
- 该算法经运行，无任何问题，可用于解决遗传算法求解车辆路线问题-The algorithm by running without any problems, can be used for genetic algorithm to solve Vehicle Routing Problem
103328531
- 遗传算法 delphi 基于 车辆调度方面的-delphi
GATraveller
- 遗传算法解车辆路径问题,解压即可运行，不需要密码-Genetic Algorithm for Vehicle Routing Problem, decompression can be run without a password
matlabforVRP
- 解决车辆路径问题的MATLAB代码，经过测试可以使用。算法采用遗传算法，对于写人工智能领域的相关论文有很大的帮助-Solve the vehicle routing problem with the MATLAB code that can be used after testing. Algorithm using genetic algorithms, artificial intelligence for the written papers of great help
r01
- 遗传算法车辆应急调度， C语言版本 ，产生随机车辆行驶路径。 -Emergency vehicles, scheduling genetic algorithm, C language to generate random traffic paths.
geneticalgorithmandsimulatedannealingalgorithm
- 建立了多约束条件车辆路径问题的数学模型和求解流程先采用最近插入法生成初始解然后基于遗传算法和模拟退火算法改进初始解-The establishment of a multi-vehicle routing problem with constraint model and solution process first insertion generated by the recent initial solution and based on genetic algorithm and simu
Genetic_Algorithm_for_vehicle_routing_problem
- 遗传算法解决车辆路径问题，希望对大家有所帮助。-Genetic Algorithm for vehicle routing problem, we want to help.
a
- 基于模拟退火遗传算法的车辆调度问题研究，其中使用matlab程序编出了整个算法-Genetic algorithm based on simulated annealing scheduling problem of vehicles, which use matlab program code out of the whole algorithm
基于遗传算法的matlab语言车辆路径问题
- 车辆路线问题（VRP）最早是由Dantzig和Ramser于1959年首次提出，它是指一定数量的客户，各自有不同数量的货物需求，配送中心向客户提供货物，由一个车队负责分送货物，组织适当的行车路线，目标是使得客户的需求得到满足，并能在一定的约束下，达到诸如路程最短、成本最小、耗费时间最少等目的。(The vehicle routing problem (VRP) was first proposed by Dantzig and Ramser in 1959, it refers to a cer
遗传算法求解VRP问题的技术报告
- 本文通过遗传算法解决基本的无时限车辆调度问题。采用车辆和客户对应排列编码的遗传算法，通过种群初始化，选择，交叉，变异等操作最终得到车辆配送的最短路径。通过MATLAB仿真结果可知，通过遗传算法配送的路径为61.5000km,比随机配送路径67km缩短了5.5km。此结果表明遗传算法可以有效的求解VRP问题。(In this paper, genetic algorithm is used to solve the basic vehicle scheduling problem without
Desktop
- 进行TSP遗传算法解决方案，解决旅行商问题，车辆调度问题，解决邮政车辆规划问题(TSP genetic algorithm solution)
遗传算法VRP
- 本资料解决带有时间窗的车辆路径问题，希望与大家进行分享与交流。(The problem of vehicle routing with time windows is solved.)
模拟退火遗传算法
- 模拟退火遗传算法的车辆调度研究，里面具有完整的matlab程序(Research on vehicle scheduling with simulated annealing genetic algorith)
遗传算法
- 基于带容量车辆约束问题算法MATLAB源码(MATLAB algorithm based on capacity constrained vehicle routing problem)
遗传?1
- 遗传算法求解vrp问题，单场库，多车型，实现车辆路径的选择，可用(Genetic algorithm can solve VRP Problem.)
遗传算法解决车辆路径问题
- 采用遗传算法针对汽车的路径规划进行优化(Genetic algorithm is used to optimize the path planning of automobiles)
遗传模拟退火算法求解TSP问题matlab代码
- 解决车辆路径问题，改进的模拟退火和遗传算法，全面详细，适用于解决VRP问题和物流车辆规划(To solve the vehicle routing problem, the improved simulated annealing and genetic algorithm, comprehensive and detailed, suitable for solving VRP problems and logistics vehicle planning)