A New Genetic Chaos Optimization Combination Method
一种新的遗传混沌优化组合方法

Based on the analysis of the properties of genetic algorithm and chaos optimization algorithm, a new genetic chaos optimization combination algorithm is presented. The method not only solves the invalidation problem of chaos optimization algorithm in a large scale, but also increases the ability of local search and search precision. Then, the convergence of the algorithm is proved. In the end, this algorithm is applied to six test functions' optimization problem and the simulation shows that the algorithm is effective.