The suggested algorithm is proved to be more efficient in solving benchmark multimodal optimization problems than standard fitness sharing genetic algorithm and crowding genetic algorithm.

• 保持遗传算法在演化过程中的种群多样性,是将遗传算法成功应用于解决多峰优化问题和多目标优化问题的关键。