搜索资源列表
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与禁忌搜索动态修改邻域结构的方法不同, GLS的基本原则是通过不断改变搜索空间的地形(landscape)来帮助搜索过程逐步移出局部极值的, 也就是说搜索过程中解结构和邻域结构将保持不变, 而目标函数将被动态修改, 以使得当前的局部极值不再具有局部最优性。-Guided Local Search sits on top of local search heuristics and has as a main aim to guide these procedures in exploring e
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
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A paper of Guided Local Search
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Matlab PSO
In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
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this source code for pso. particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of c
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of c
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