智能系统学报Issue(3)：240-246,7.DOI:10.3969/j.issn.1673-4785.201211047
具有 Lévy 飞行特征的蝙蝠算法
Bat algorithm with the characteristics of Lévy flights
摘要
Abstract
The basic bat algorithm (BA) in the past research studies reveal deficiencies as apt to be premature and low precision of convergence .This paper first analyzed the optimization mechanism and deficiency of bat algorithm (BA), and then considering the Lévy flight behaviors of bats can simulate predatory more realistically , the study proposed substituting for the speed and location updating pattern of former algorithm .The proposed algorithm fully explored the trait of uneven random walks , so that clusters of short steps were connected by rare long steps , to a-void being trapped in local optimal solution .Simulation results for benchmark functions show that the proposed algo-rithm improved the global optimization ability remarkably and outperformed the basic BA and particle swarm optimi -zation (PSO) in accuracy and convergence property .Therefore, the proposed algorithm is an effective tool for sol-ving the optimization of complex functions.关键词
蝙蝠算法/Lévy飞行/函数优化/粒子群优化算法Key words
bat algorithm/Lévy flight/function optimization/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
..具有 Lévy 飞行特征的蝙蝠算法[J].智能系统学报,2013,(3):240-246,7.基金项目
国家自然科学基金资助项目（71271138）；教育部人文社会科学规划基金资助项目（10YJA630187）；上海市教委科研创新重点资助项目（12ZS133）；教育部高校博士学科点专项科研基金资助项目（20093120110008）． （）
