西安电子科技大学学报（自然科学版）Issue(2)：65-70,139,7.DOI:10.3969/j.issn.1001-2400.2015.02.011
一种改进的人工蜂群算法
Improved artificial bee colony algorithm
摘要
Abstract
By analyzing the optimization scheme of the artificial bee colony algorithm,an improved version of such an algorithm is proposed in terms of the initial population construction,subpopulations grouping,step updating and population elimination.The new algorithm constructs the initial population by using the uniform design theory and a Z-type grouping method based on cross population is proposed.Specifically,an adaptive step based on logarithmic functions is designed to replace the original random step.At the same time,the population elimination mechanism based on niche technology is adopted to eliminate these individuals which have fallen into the local optimum in time. Experimental results show that the improved algorithm can avoid premature convergence,accelerate the searching rate and improve the accuracy of the solution.关键词
人工蜂群算法/均匀设计/Z型分组/自适应步长/小生境Key words
artificial bee colony algorithm/uniform design/Z-type grouping/adaptive step/niche分类
信息技术与安全科学引用本文复制引用
臧明相,马轩,段奕明..一种改进的人工蜂群算法[J].西安电子科技大学学报（自然科学版）,2015,(2):65-70,139,7.基金项目
国家部委基础科研计划资助项目(A1120132007) （A1120132007）
