计算机技术与发展2013，Vol.23Issue(7)：131-133,137,4.DOI:10.3969/j.issn.1673-629X.2013.07.033
演化式果蝇算法及其应用研究
Evolutionary Fruit Algorithm and Its Application Research
摘要
Abstract
Large number of problems in reality may convert into function optimization problem,and the general and efficient algorithm of search for optimization problems is one of the main purposes of intelligent computing achieving.In this paper,based on the fruit foraging behavior characteristics of the group,designed a evolutionary fruit algorithm for solving function optimization problem.The algorithm firstly defines the fruit smell concentration determination value and fruit smell concentration detection function,and then for the multi-dimensional problem,puts forward the concept of distance components and smell concentration determination value component,and uses to guide the search process of fruit,getting the ideal optimization results.The numerical experiments show that the algorithm has high efficiency,global performance and good universality.关键词
果蝇算法/优化/味道浓度/判定值/判定函数Key words
fruit algorithm/ optimization/ smell concentration/ decision value / decision function分类
信息技术与安全科学引用本文复制引用
胡能发..演化式果蝇算法及其应用研究[J].计算机技术与发展,2013,23(7):131-133,137,4.基金项目
广东省科技计划项目(2008B080701018) （2008B080701018）
