Biogeography-based optimization combined with evolutionary strategy and immigration refusal

Author

Du, Dawei ; Simon, Dan ; Ergezer, Mehmet

Author_Institution

Dept. of Electr. & Comput. Eng., Cleveland State Univ., Cleveland, OH, USA

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

997

Lastpage

1002

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.

Keywords

evolutionary computation; optimisation; statistical testing; BBO; ES; F-test value; T-test value; biogeography-based optimization; evolutionary strategy; heuristic algorithm; immigration refusal approach; Animals; Benchmark testing; Biogeography; Cybernetics; Genetic mutations; Heuristic algorithms; Probability; Statistical analysis; USA Councils; Wheels; Biogeography-based optimization; evolutionary strategy; heuristic algorithm; immigration refusal;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346055

Filename

5346055