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基于基本遗传算法的函数最优化
《遗传算法——理论、应用与软件实现》，王小平、曹立明编着
-A function of the basic genetic algorithm-based optimization
"Genetic algorithm- theory, application and software implementation, Wang Xiaoping, Cao Liming, ed
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本文针对性的研究了多目标演化算法，实现了包括NSGA-II、SPEA2已有的经典多目标优化进化算法在多目标优化问题中的应用-Targeted research multi-objective evolutionary algorithm to achieve multi-objective optimization evolutionary algorithm NSGA-II, SPEA2 than classic multi-objective optimization problem
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遗传算法优化 应用于优化获得最佳参数，测试过非常好用-Genetic algorithm optimization
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邮政运输网络中的邮路规划和邮车调度 针对邮政物流配送问题建立多目标网络优化模型，通过聚类分析方法化简复杂的邮路网络，并综合运用图论中Floyd、Kruskal、TSP等算法高效快捷地解决该问题。-The postal transport network the Postman planning and Vehicle Management establish a network of multi-objective optimization model for the postal logist
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遗传算法优化船舶中剖面构件尺寸，matlab编程，先加载X文件-Ships in genetic algorithm optimization section scantlings, matlab programming, first load X files
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将遗传算 法求解 TSP问题 的方法应 用于印制板打 孔工 艺的最优路 径选择 中．根 据
印制板上孔的位置找 出打孔的最短路径 ．实现 高效率打孔 -A Genetic Algorithm ofPath Optimization for PCB Drilling
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A Novel Heuristic Algorithm based on Cuckoo Search
for Multi-Objective Optimization
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混沌粒子群算法是混沌优化和粒子群优化两者的结合。对于给定的优化函数，通过将搜索过程对应为混沌轨道的遍历过程，可使搜索过程具有避免陷入局部极小的能力。-Chaos particle swarm optimization (pso) algorithm is a combination of both the chaos optimization and particle swarm optimization.For a given optimization function, through th
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应用禁忌算法求解中国邮递员的路径优化问题，可以参考一下-Application of Tabu path algorithm optimization problem Chinese postman
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利用遗传算法解决列车优化运行问题，为了简化问题考虑只有一个牵引和惰性的过程。-Genetic algorithm is used to solve the problem of train operation optimization. In order to simplify the problem, there is only one process of traction and inertia.
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用粒子群算法解决np-hard问题，可以得到满意解。-Using the particle swarm optimization algorithm to solve the NP-hard problem, we can get the satisfactory solution.
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拓扑优化99行，基于MMA移动渐进算法进行寻优，拓扑优化入门代码-99 line topology optimization based on progressive movement MMA algorithm optimization, topology optimization of code entry
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这是新提出的天牛须算法和matlab的实现代码，用于优化问题十分有效(This is the newly proposed algorithm of the matlab algorithm, which is very effective for optimization.)
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