计算机工程与应用2018，Vol.54Issue(4)：148-153,184,7.DOI:10.3778/j.issn.1002-8331.1609-0141
改进步长与策略的果蝇优化算法
Improved fruit fly optimization algorithm with changing step and strategy
摘要
Abstract
For the demerits of Fruit Fly Optimization Algorithm(FOA),such as easily relapsing into local optimum,slow convergence rate and low convergence precision,an improved Fruit Fly Optimization Algorithm with Changing Step and Strategy(CSSFOA)is presented.Selecting the historical optimal value randomly as a basis for step changes in a certain range, the changing flight distance of the fruit fly population dynamically can effectively balance the global and local search ability of the algorithm.To avoid falling into local optimum,a certain number of fruit flies are selected to perform variation operation when its population tends to be stable.The experimental results show that the proposed algorithm is much better than basic FOA and its several improved algorithms in convergence rate and convergence precision.关键词
果蝇优化算法/变步长/变异/收敛精度Key words
Fruit Fly Optimization Algorithm(FOA)/changing step/variation/convergence precision分类
信息技术与安全科学引用本文复制引用
桂龙,王爱平,丁国绅..改进步长与策略的果蝇优化算法[J].计算机工程与应用,2018,54(4):148-153,184,7.基金项目
国家自然科学基金(No.61573022). （No.61573022）
