中文摘要：

提出一种新的双性别演化计算框架,区别于一般遗传算法的是,这种演化计算框架基于Fisher奔离过程对性选择中的雄性特征、雌性选择偏好等概念进行建模,并对所建模型进行整合.为了测试新算法框架的性能,使用CEC2005 Special Session中的标准测试函数集进行数值优化实验.实验结果表明,新算法在大多数测试函数（14个中的10个）上的表现比传统遗传算法更优秀.

英文摘要：

@@@@For the modeling of some significant components in sexual selection, including the concepts of male trait and female mating preference, evolutionary framework is constructed. The theoretical principle of this framework is the famous mechanism called Fisher’s runaway process. Numerical optimization is carried out to evaluate the newly proposed framework on a large number of benchmark functions used in CEC2005 Special Session. Experimental results show that the proposed framework outperforms the classic real-coded genetic algorithm on most functions.