A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research

作     者：Hosseini, Seyedmohsen Al Khaled, Abdullah 

作者机构：Univ Oklahoma Sch Ind & Syst Engn Norman OK 73019 USA MEDSEEK Inc Birmingham AL USA 

出 版 物：《APPLIED SOFT COMPUTING》 (应用软计算)

年 卷 期：2014年第24卷第0期

页      面：1078-1094页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Imperialist Competitive Algorithm Metaheuristic Swarm intelligence Imperialist competition 

摘      要：The Imperialist Competitive Algorithm (ICA), derived from the field of human social evolution, is a component of swarm intelligence theory. It was first introduced in 2007 to deal with continuous optimization problems, but recently has been extensively applied to solve discrete optimization problems. This paper reviews the underlying ideas of how ICA emerged and its application to the engineering disciplines mainly on industrial engineering. The present study is the first ever comprehensive review on ICA, which indicates a statistically significant increase in the amount of published research on this metaheuristic algorithm, especially research addressing discrete optimization problems. Future research directions and trends are also described. (C) 2014 Elsevier B.V. All rights reserved.