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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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利用遗传算法求解极值问题,进化代数30,种群个数1-Extremum problem using genetic algorithm, evolutionary algebra 30, the number of population 100
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Evolutionary Algorithm for Practical and Application
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In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutio
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This folder is consist of 5 evolutionary algorithm including: differential evolutionary- multi objective differential evolutionary- optical character recognition for digit- PSO-HBO which are uated using some uate functions-This folder is consist of 5
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Genetic algorithm and its application, Chen Guoliang edited and published with the People s Post and in 2001 the first book version of the full introduction of the genetic algorithm basic tenets , design methods and parallel implementation, and its p
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Multi objective Evolutionary Algorithm
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