微型机与应用Issue(16)：67-70,74,5.
果蝇优化算法的加权策略研究
Study on the strategy of weighting in fruit fly optimization algorithm
杜军俊1
作者信息
- 1. 甘肃农业大学 信息科学技术学院，甘肃 兰州 730070
- 折叠
摘要
Abstract
In order to solve the problems of slow convergence rate and low convergence precision , introducing a weighting factor in the location update formula, a few weighted fruit fly optimization algorithm (WFOA)with linear decreasing strategy and first increased and then decreased strategy is presented to enhance the diversity of the population. The results on 6 test functions prove these methods are feasible, and indicate these methods can improve the convergence speed and convergence precision. By comparing the two strategies has found linear decreasing strategy faster convergence , the first increased and then decreased strategy has stronger robustness and slightly better convergence precision.关键词
加权因子/果蝇优化算法/线性递减策略/先增后减策略Key words
weighting factor/fruit fly optimization algorithm (FOA)/linear decreasing strategy/first increased and then decreased strategy分类
信息技术与安全科学引用本文复制引用
杜军俊..果蝇优化算法的加权策略研究[J].微型机与应用,2014,(16):67-70,74,5.
