Biogeography-based optimization combined with evolutionary strategy and immigration refusal

Authors:
Dawei Du;Dan Simon;Mehmet Ergezer
Affiliations:
Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, Ohio;Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, Ohio;Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, Ohio
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

Biogeography-based optimization (BBO) is a recently developed heuristic algorithm which has shown impressive performance on many well known benchmarks. In order to improve BBO, this paper incorporates distinctive features from other successful heuristic algorithms into BBO. In this paper, features from evolutionary strategy (ES) are used for BBO modification. Also, a new immigration refusal approach is added to BBO. After the modification of BBO, F-tests and T-tests are used to demonstrate the differences between different implementations of BBOs.