摘要
针对基本遗传算法局部搜索能力不强的问题,提出一种将下降搜索与遗传算法相结合的混合遗传算法,其中下降搜索的优化方向利用每一代中最劣个体所包含的优化信息获得.数值计算表明,该混合算法可加速算法的收敛,具有良好的优化性能和函数适应能力.
Aiming at the weak local searching ability of simple genetic algorithm (SGA), a hybrid genetic algorithm has been put forward based on the combination of descend searching method and SGA, whose descend direction is obtained by the optimal information that owned by the worst individual in each gap. Numerical calculation shows that the hybrid GA can accelerate the convergence of the algorithm, and has well optimal capability and function adaptive abilities.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2003年第1期109-112,共4页
Engineering Journal of Wuhan University
基金
武汉大学科技创新基金资助项目(206270031).
关键词
下降算子
混合遗传算法
工程设计
目标函数值
descend searching operator
hybrid genetic algorithm
worst individual
