文件名称:Genetic-Algorithm
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- 上传时间:2016-03-27
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文件大小:8.4kb
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遗传算法(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法。遗传算法可以解决多种优化问题,如:TSP问题、生产调度问题、轨道优化问题等,在现代优化算法中占据了重要的地位,本例使用遗传算法求解最优解。-Genetic Algorithm (Genetic Algorithm) is a simulation of Darwinian natural selection and genetic mechanism of biological evolution of computational models of biological evolution, the process is a method of searching the optimal solution by simulating natural evolution. Genetic algorithms can solve a variety of optimization problems, such as: TSP problem, production scheduling, track optimization problems in modern optimization algorithms to occupy an important position, in this case the use of genetic algorithm for optimal solutions.
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下载文件列表
遗传算法/
遗传算法/Caldata.m
__MACOSX/
__MACOSX/遗传算法/
__MACOSX/遗传算法/._Caldata.m
遗传算法/Codeing.m
__MACOSX/遗传算法/._Codeing.m
遗传算法/Crossover.m
__MACOSX/遗传算法/._Crossover.m
遗传算法/Fitness.m
__MACOSX/遗传算法/._Fitness.m
遗传算法/Fx.m
__MACOSX/遗传算法/._Fx.m
遗传算法/Incodeing.m
__MACOSX/遗传算法/._Incodeing.m
遗传算法/IntPop.m
__MACOSX/遗传算法/._IntPop.m
遗传算法/main.m
__MACOSX/遗传算法/._main.m
遗传算法/Print.m
__MACOSX/遗传算法/._Print.m
遗传算法/Select.m
__MACOSX/遗传算法/._Select.m
遗传算法/Variation.m
__MACOSX/遗传算法/._Variation.m
遗传算法/Caldata.m
__MACOSX/
__MACOSX/遗传算法/
__MACOSX/遗传算法/._Caldata.m
遗传算法/Codeing.m
__MACOSX/遗传算法/._Codeing.m
遗传算法/Crossover.m
__MACOSX/遗传算法/._Crossover.m
遗传算法/Fitness.m
__MACOSX/遗传算法/._Fitness.m
遗传算法/Fx.m
__MACOSX/遗传算法/._Fx.m
遗传算法/Incodeing.m
__MACOSX/遗传算法/._Incodeing.m
遗传算法/IntPop.m
__MACOSX/遗传算法/._IntPop.m
遗传算法/main.m
__MACOSX/遗传算法/._main.m
遗传算法/Print.m
__MACOSX/遗传算法/._Print.m
遗传算法/Select.m
__MACOSX/遗传算法/._Select.m
遗传算法/Variation.m
__MACOSX/遗传算法/._Variation.m
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