基于嵌入协作的多方法协作优化方法

Multimethod Collaborative Optimization Algorithm Based on Embedding Collaboration

提出一种基于嵌入协作的多方法协作优化方法。算法采用嵌入方式组织各个优化方法之间的协作 ,利用优化方法之间的协作效应提高优化性能。进行遗传算法、模式搜索法和Powell法嵌入协作组成的多方法协作优化方法设计。计算实例表明 ,基于嵌入协作的多方法协作优化方法取得了优于单个优化方法的全局最优特性。

Multi method collaborative optimization algorithm based on embedding collaboration is advanced It uses embedding structure to collaborate different kinds of optimization methods, and makes use of the collaboration effect among them to improve the optimization performance A multimethod collaborative optimization algorithm base on embedding collaboration is designed, which is composed of genetic algorithm, pattern search method and Powell's method. Results show that multi method collaborative optimization algorithm based on embedding collaboration obtains better global optimization performance than single optimization method.