On the Convergence of Biogeography-Based Optimization for Binary Problems. (22nd May 2014)

• Record Type: Journal Article
• Authors: Ma, Haiping; Simon, Dan; Fei, Minrui
• Other Names: Cuevas Erik Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-05-22
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/147457
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : Biogeography-based optimization (BBO) is an evolutionary algorithm inspired by biogeography, which is the study of the migration of species between habitats. A finite Markov chain model of BBO for binary problems was derived in earlier work, and some significant theoretical results were obtained. This paper analyzes the convergence properties of BBO on binary problems based on the previously derived BBO Markov chain model. Analysis reveals that BBO with only migration and mutation never converges to the global optimum. However, BBO with elitism, which maintains the best candidate in the population from one generation to the next, converges to the global optimum. In spite of previously published differences between genetic algorithms (GAs) and BBO, this paper shows that the convergence properties of BBO are similar to those of the canonical GA. In addition, the convergence rate estimate of BBO with elitism is obtained in this paper and is confirmed by simulations for some simple representative problems.