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: 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: 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 Platform: |
Size: 5120 |
Author:赵赵 |
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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: 基于免疫遗传算法的QOS路由选择问题
给予免疫遗传算法的多目标优化问题
-Immune genetic algorithm based QOS routing problems provide the immune genetic algorithm for multi objective optimization problem Platform: |
Size: 242688 |
Author:路杨 |
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Description: Energy is one of the most important items to determine the network lifetime due to low power energy nodes included in the network. Generally, data aggregation tree concept is used to find an energy efficient solution. However, even the best aggregation tree does not share the load of data packets to the transmitting nodes fairly while it is consuming the lowest possible energy of the network. Therefore, after some rounds, this problem causes to consume the whole energy of some heavily loaded nodes and hence results in with the death of the network. In this paper, by using the Genetic Algorithm (GA), we investigate the energy efficient data collecting spanning trees to find a suitable route which balances the data load throughout the network and thus balances the residual energy in the network in addition to consuming totally low power of the network. Using an algorithm which is able to balance the residual energy among the nodes can help the network to withstand more and consequently extend its own lifetime. In this work, we calculate all possible routes represented by the aggregation trees through the genetic algorithm. GA finds the optimum tree which is able to balance the data load and the energy in the network. Simulation results show that this balancing operation practically increases the network lifetime. Platform: |
Size: 342534 |
Author:atrakpc@yahoo.com |
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Description: 这个代码是采用遗传算法解决车辆路径优化问题，大家一块学习(This code is to solve the vehicle routing optimization problem with genetic algorithm.) Platform: |
Size: 2048 |
Author:潇1默 |
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Search - genetic algorithm routing