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Grefenstette编码法的MATLAB实现 本文在MATLAB环境下编程实现针对TSP问题的Grefenstette编码法,并将其同基本遗传算法相结合,仿真求解一个 15点的TSP问题-Grefenstette coding method to achieve this paper, the MATLAB environment in MATLAB programming for the TSP problem Grefenstette coding method and genetic algorithm with the basic combination of a 15-point simulation of the TSP problem
Date : 2025-12-23 Size : 25kb User : peng

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遗传算法整套源程序,包括初始种群,计算适应度值,选择,交叉变异等-Genetic algorithm source code package, including the initial population, calculation of fitness value, selection, crossover and other variant
Date : 2025-12-23 Size : 2kb User : Mike

its the matlab coding for pattern recoganization in image processing using genetic algorithm-its the matlab coding for pattern recoganization in image processing using genetic algorithm
Date : 2025-12-23 Size : 219kb User : suresh

根据多层编码遗传算法原理,在matlab中编程实现基于多层编码遗传算法的车间调度算法-According to the principle of multi-coded genetic algorithm in matlab programming shop scheduling algorithm based on multi-coding genetic algorithm
Date : 2025-12-23 Size : 12kb User : 吴逸

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 time limit. Using the genetic algorithm of vehicle and customer corresponding permutation coding, through the initialization of population, selection, crossover and mutation, the shortest route of vehicle delivery is obtained. Through MATLAB simulation results, we can see that the route of delivery through genetic algorithm is 61.5000km, which is 5.5km shorter than the random delivery path 67km. The results show that the genetic algorithm can solve the VRP problem effectively.)
Date : 2025-12-23 Size : 94kb User : 阿雨
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