函数优化问题的多方法协作优化

Multimethod Collaborative Optimization for Function Optimization Problem

针对复杂函数优化问题,采用多个优化方法进行多方法协作优化。多方法协作优化可以利用各个参与协作的优化方法之间的协作效应,提高优化性能。将遗传算法、模式搜索法和Powell法进行协作构成多方法协作优化方法。采用典型的全局优化测试函数进行实例计算,实例验证多方法协作优化相对于单独优化的优越性。

To solve the problem of complex function optimization,we use a lot of methods to process multimethod collaborative optimization.Multimethod collaborative optimization can take use of the collaborative effect between different kinds of optimization methods and improve the optimization performance.Collaborating genetic algorithm and pattern search method with Powell's method,we get a new algorithm named as multimethod collaborative optimization algorithm.Some typical global optimization functions are used to test the performance of multimethod collaborative optimization algorithm.Examples show that multimethod collaborative optimization superiors to simple optimization.