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RBF神经网络用于函数拟合平台
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首先采用某种编码方式将解空间映射到编码空间,每个编码对应问题的一个解,称为染色体或个体。一般通过随机方法确定起始的一群个体,称为种群,在种群中根据适应值或某种竞...
首先采用某种编码方式将解空间映射到编码空间,每个编码对应问题的一个解,称为染色体或个体。一般通过随机方法确定起始的一群个体,称为种群,在种群中根据适应值或某种竞争机制选择个体,使用各种遗传操作算子产生下一代如此进化下去,直到满足期望的终止条件。-begin using some form of coding mapping to the solution space coding space, each encoding a corresponding solution to the problem, known as chromosome or individual. General randomly determined by the initial group of individuals, called stocks, the stocks based on fitness or some mechanism to choose the individual competition, the use of genetic Operator evolution of the next generation so on, until the termination meet expectations conditions.
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用C撰写遗传基因法
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多
多目标优化进化算法目前公认效果收敛性最好的算法NSGA2源码,内有多目标算法的工具箱,对实现其他多目标优化算法很有帮助-Multi-objective optimization evolutionary algorithm is currently recognized as the effect of convergence of the algorithm NSGA2 best source, with a number of target algorithm toolbox for achieving the other multi-objective optimization algorithm for helpful
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