Genetic Algorithm, is an evolutionary algorithm,
2016-08-23
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Genetic algorithm is an evolutionary algorithm, the basic principle is to emulate the biosphere in the "natural selection, survival of the fittest," the evolution of the law. Approach the problem of genetic algorithm parameters are encoded as chromosomes, re-use an iterative manner, such as selection, crossover and mutation operators to exchange information on the population of chromosomes, the resulting optimization objectives in line chromosomes.
In the genetic algorithm, the corresponding data or chromosomal arrays, usually caused by a string of one-dimensional data structure to represent each gene corresponding to the position of the string value. Chromosomal gene is composed of strings, or call genotype. A number of individuals of the population. The number of groups of individuals called population size, also called population size. And each individual's degree of adaptation to the environment
In the genetic algorithm, the corresponding data or chromosomal arrays, usually caused by a string of one-dimensional data structure to represent each gene corresponding to the position of the string value. Chromosomal gene is composed of strings, or call genotype. A number of individuals of the population. The number of groups of individuals called population size, also called population size. And each individual's degree of adaptation to the environment
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