计算机应用研究2016，Vol.33Issue(5)：1319-1321,1349,4.DOI:10.3969/j.issn.1001-3695.2016.05.009
基于信息熵的混合引力搜索算法
Hybrid gravitational search algorithm with information entropy
摘要
Abstract
Based on information entropy,this paper proposed a hybrid gravitational search algorithm to overcome drawbacks of basic gravitational search algorithm,such as low speed,prematurity,and so on.Inspired by particle swarm optimization,the pro-prosed algorithm first modified the formulate of velocity and position to enhance the searching speed.To balance the ability of global search and local search,by means of mass,it built information entropy model to characterize the population optimization degree,and chose different weights according to different threshold of the information entropy.Numerical experiments on eight benchmark functions illustrate that the proposed algorithm is superior to basic gravitational search algorithm(GSA)and memo-ry gravitational search algorithm(MGSA).关键词
引力搜索/信息熵/启发式/极大熵原理/权重Key words
gravitational search/information entropy/heuristic/maximum entropy principle/weight分类
信息技术与安全科学引用本文复制引用
郭洁皓,高兴宝..基于信息熵的混合引力搜索算法[J].计算机应用研究,2016,33(5):1319-1321,1349,4.基金项目
国家自然科学基金资助项目 （）
