A Genetic Algorithm Using a Mixed Crossover Strategy

作者：Zhuang Li yan; Dong Hong bin; Jiang Jing qing^*; Song Chu yi

来源：5th International Symposium on Neural Networks, 2008-09-24 to 2008-09-28.

• Genetic Algorithm
• Crossover Strategy
• Function Optimization

Function Optimization is a typical problem. A mixed crossover strategy genetic algorithm for function optimization is proposed in this paper. Four crossover strategies are mixed in this algorithm and the performance is improved compared with traditional genetic algorithm using single crossover strategy. The numerical experiment is carried out on nine traditional functions and the results show that the proposed algorithm is superior to four single pure crossover strategy genetic algorithms in the convergence rate for function optimization problems

• 出版日期2008
• 单位内蒙古民族大学