Solving constrained optimisation problems using the improved imperialist competitive algorithm and Deb's technique

作     者：Aliniya, Zahra Keyvanpour, MohammadReza 

作者机构：Alzahra Univ Dept Comp Engn Tehran Iran 

出 版 物：《JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE》 (人工智能实验与理论杂志)

年 卷 期：2018年第30卷第6期

页      面：927-951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 constrained optimisation problems DE/rand/1 operator binomial crossover 

摘      要：In this paper, an improved imperialist competitive algorithm called I-ICA is proposed for solving constrained optimisation problems. In I-ICA, the use of differential evolution (DE)/rand/1 mutation operator at assimilation step enhances the population diversity. Also, the binomial crossover operator improves the speed of convergence to optimal solution by distributing good information among solutions. Furthermore, Deb s rules were applied for handling constrains. Examinations were done on 24 well-known functions and 5 engineering design problems. The comparison of I-ICA with basic ICA and 22 state-of-the-art algorithms shows I-ICA s superiority in terms of the rate of convergence and quality of the obtained solution.