高校应用数学学报B辑
高校應用數學學報B輯
고교응용수학학보B집
APPLIED MATHEMATICS A JOURNAL OF CHINESE UNIVERSITIES
2005年
4期
491-498
,共8页
unconstrained optimization%pattern search method%genetic algorithm%global minimizer
In this paper a hybrid algorithm which combines the pattern search method and the genetic algorithm for unconstrained optimization is presented.The algorithm is a deterministic pattern search algorithm,but in the search step of pattern search algorithm,the trial points are produced by a way like the genetic algorithm.At each iterate, by reduplication,crossover and mutation, a finite set of points can be used.In theory,the algorithm is globally convergent.The most stir is the numerical results showing that it can find the global minimizer for some problems,which other pattern search algorithms don't bear.
