【摘要】 针对标准遗传算法的局部搜索能力差、解的精度低等一些不足 ,提出了一种嵌入演化策略的双种群遗传算法 ,即用自适应遗传算法进行大种群寻优 ,用演化策略优化小种群。将该方法应用于非线性约束优化问题中 ,结果表明 ,该算法的局部搜索能力、精度和计算速度较改进前有明显提高更多还原

【Abstract】 Because of the weak capability in local search and the lack of precision in the standard Genetic Algorithm(GA), a new algorithm —— the Dual Population Genetic Algorithm embedded in Evolution Strategies(ESs) —— is proposed. This algorithm is used to optimize toward the general population with a self adaptive GA and to look for toward the local population with Evolution Strategies. This algorithm is applied to nonlinear optimization problems with restraining conditions and the results show that the ability in local research, the precision of the calculation speed and its speed are greatly improved.更多还原