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Research of Biogeography-Based Multi-Objective Evolutionary Algorithm

Research of Biogeography-Based Multi-Objective Evolutionary Algorithm
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Author(s): Hongwei Mo (Harbin Engineering University, China)and Zhidan Xu (Harbin Engineering University, China)
Copyright: 2013
Pages: 11
Source title: Interdisciplinary Advances in Information Technology Research
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-4666-3625-5.ch010

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Abstract

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 Biogeography-based 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.

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