Research of Biogeography-Based Multi-Objective Evolutionary Algorithm

被引：3
|
作者：
Mo, Hongwei [1 ,2 ]
Xu, Zhidan [3 ]
机构：
[1] Harbin Engn Univ, Automat Coll, Engn, Harbin, Heilongjiang, Peoples R China
[2] UCDavis, Davis, CA USA
[3] Harbin Engn Univ, Coll Automat, Harbin, Heilongjiang, Peoples R China
来源：
JOURNAL OF INFORMATION TECHNOLOGY RESEARCH | 2011年 / 4卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Biogeography-Based Optimization Algorithm; Evolutionary Algorithm; Multi-Objective Optimization Problem; Optimization Algorithm; Pareto Optimal Solutions;
D O I：
10.4018/jitr.2011040106
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Biogeography-based optimization algorithm (BBO) is an optimization algorithm inspired by the migration of animals in nature. A new multi-objective evolutionary algorithm is proposed, which is called Biogeographybased multi-objective evolutionary algorithm (BBMOEA). The fitness assignment and the external population elitism of SPEA2 are adapted to ensure even distribution of the solution set. The population evolutionary operators of BBO are applied to the evolution of the external population to ensure the convergence of the solution set. Simulation results on benchmark test problems illustrate the effectiveness and efficiency of the proposed algorithm.
引用
收藏
页码：70 / 80
页数：11
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