湖北民族学院学报（自然科学版）2016，Vol.34Issue(3)：251-255,5.DOI:10.13501/j.cnki.42-1569/n.2016.09.003
基于反向学习机制的蝙蝠算法
Bat Algorithm Based on Opposition Learning Mechanism
摘要
Abstract
Aiming at the problem that the firefly algorithm has slow convergence and low precision ,an im-proved Bat algorithm based on opposition learning mechanism is proposed .The proposed algorithm is char-acterized by high precision and good robustness ,and it can effectively jump out the local optimum .6 typi-cal test functions are simulated and the results show that the algorithm is effective and feasible .What′s more, the algorithm also has excellent arithmetic performance in solving an optimization problem with multi-modal function .关键词
蝙蝠算法/反向学习/多样性/鲁棒性Key words
bat algorithm/opposition learning/diversity/robustnes分类
信息技术与安全科学引用本文复制引用
岳伟娜,马吉明,苏日建,郭盛楠..基于反向学习机制的蝙蝠算法[J].湖北民族学院学报（自然科学版）,2016,34(3):251-255,5.基金项目
国家自然科学基金项目（61374014）；河南省科技攻关项目（132102210056、142102210080）． （）
