Distributed parallel genetic algorithm based on fuzzy penalty function and its application in structural optimization

In this article,fuzzy theory is introduced in optimization and a new fuzzy penalty function based on feasible degree is presented.Distributed parallel genetic algorithm(DPGA) is proposed to search operation.This new algorithm integrates the optimums of different genetic operator,and uses parallel operation to improve the optimization efficiency.Then a satisfying performance is obtained.