The mutation of genetic algorithm is introduced in
2016-08-23
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For intelligent computation and optimization theory, genetic algorithm and particle swarm algorithm are modern bionic optimization algorithm, but both are different, the core of the genetic algorithm is that the mutation and crossover, the core of the particle swarm algorithm is that individual search optimization and group optimization balance. Usually study machinery will combine the two algorithms, which makes the program more complex, operation time too long. This program mainly by the particle swarm optimization algorithm, cleverly will thought of variation of genetic algorithm was introduced to particle swarm optimization algorithm, the improved simple can greatly improve the performance of particle swarm optimization algorithm. However, the threshold for the introduction of a random number needs to be determined by repeated experiments.Key Technology
Will thought of variation of genetic algorithm skillful applicatiomatlab
算法
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遗传
思想
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粒子
变异
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