Description: MCRGSA------组播路由问题遗传模拟退火算法
％M-----------遗传算法进化代数
％N-----------种群规模，取偶数
％Pm----------变异概率调节参数
％K-----------同一温度下状态跳转次数
％t0----------初始温度
％alpha-------降温系数
％beta--------浓度均衡系数
％ROUTES------备选路径集
％Num---------到各节点的备选路径数目
％Cost--------费用邻接矩阵
％Source------源节点标号
％End---------目的节点标号组成的向量
％MBR---------各代最优路径编码-MCRGSA------ Multicast Routing genetic simulated annealing% M----------- genetic algorithm algebra% N----------- population size, even take Pm----------% probability parameter variation%----------- same temperature K Jump under a number of state----------% t0 initial temperature cooling% alpha------- beta coefficient%-------- balanced concentration coefficient% ROUTES------ Alternative Path Set% Enable--------- nodes to the number of alternative paths%-------- Cost adjacent costs Matrix% Source------ source node labeling% End--------- destination node labeling Group Vector%% of the MBR--------- generations optimal path coding Platform: |
Size: 1024 |
Author:程爱华 |
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Description: 这个程序是用遗传算法解决车辆路径问题的．程序完整，完美．-the procedure is using genetic algorithms to solve vehicle routing problem. The integrity of the process and perfect. Platform: |
Size: 11264 |
Author:王二 |
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Description: 一个用于自然数编码遗传算法的工具包indexGA，以及用这个工具包实现的车辆路径优化问题的算法例程-One for the natural number-coded genetic algorithm toolkit indexGA, and use this tool kit to achieve VRP algorithm routine Platform: |
Size: 9216 |
Author: |
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Description: 应用遗传算法是被认为求解NP难题的有效手段之一,求解物流配送车辆路径优化问题时,在传统遗传算法的基础上,并引入了免疫算法的思想,实验结果表明该算法具有更好的全局和局部搜索能力和收敛速度,可有效地解决物流配送车辆路径优化问题。-Application of genetic algorithms to solve NP is considered an effective means of problem solving to optimize logistics and distribution vehicle routing problem, in the traditional genetic algorithm based on immune algorithm and the introduction of ideas, experimental results show that the algorithm has a better overall and local search ability and convergence speed, which can effectively solve the logistics and distribution VRP. Platform: |
Size: 7168 |
Author:王博文 |
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Description: 基于模拟退火酸发和遗传算法的物流配送路径问题-Fat acid based on simulated annealing and genetic algorithm logistics and distribution routing problem Platform: |
Size: 11264 |
Author:jj |
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Description: 带有QoS约束的组播路由问题是一个NP完全问题，遗传模拟退火算法是遗传算法和模拟退火算法的一种融合，可以为这类问题提供一个解决方案-With QoS constraint multicast routing problem is an NP-complete problem, genetic simulated annealing algorithm is a genetic algorithm and simulated annealing algorithm as a fusion, you can provide for such a solution Platform: |
Size: 2048 |
Author:zhao xian sheng |
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Description: 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 Platform: |
Size: 9216 |
Author:xulei |
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Description: 本人原创的用遗传算法实现的vrp问题求解，基于matlab语言-I original genetic algorithm is used to achieve the vrp problem solving, based on the matlab language Platform: |
Size: 4096 |
Author:hattrick |
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Description: 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 Platform: |
Size: 7168 |
Author:ly |
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Description: 针对通信网络中多重QoS约束条件下的多播路由计算，提出了一个基于模拟退火技术的改进遗传算法HGA-QoSR。该算法把模拟退火技术的局部寻优能力与遗传算法的全局寻优能力有机结合，并利用隔离小生境机制控制种群的独立进化，使演化过程中的种群保持生态多样性，以提高算法运行效率和解的质量。理论分析和仿真实验表明，与传统遗传算法相比较，该算法性能有显著改进。 -Communication networks for multi-QoS Constrained multicast routing calculation, proposed a simulated annealing technique based on improved genetic algorithm HGA-QoSR. The algorithm to simulated annealing and local optimization ability of genetic algorithms global optimization ability of organic combination and isolation niche mechanism to control the use of independent evolution of populations, the evolution of the species to maintain ecological diversity, to improve the algorithm efficiency settlement quality. Theoretical analysis and simulation results show that compared with traditional genetic algorithm, the algorithm performance significantly improved. Platform: |
Size: 27648 |
Author:S514506227 |
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Description: 利用遗传算法实现VRP问题，将车辆路径问题规划的较为详细，算法较为良好(The genetic algorithm is used to solve the VRP problem, and the vehicle routing problem is more detailed and the algorithm is better) Platform: |
Size: 3072 |
Author:莹莹11
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Description: 基与遗传算法的动态规划,可以解决对于有时间窗约束的多目标车辆寻路问题(HUBThe dynamic programming of base and genetic algorithm can solve the problem of multi-objective vehicle routing problem with time window constraints) Platform: |
Size: 3072 |
Author:moonll741
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