An Isolation Niche Hybrid Genetic Algorithm Based on Simulated Annealing Method

Simulated annealing and isolation niche are two helpful methods that can improve performance of genetic algorithm. These two ideas are well combined in this paper, at the same time, production mode of initial population, crossover operator and mutation operator are improved by using the global equilibrium design ideology of orthogonal experiment method and dual mutation operation. On this basis, a new algorithm is derived, that is isolation niche hybrid genetic algorithm based on simulated annealing method. The research results show that this method can not only improve the convergence efficiency, but also evidently improve the computation speed.