DocumentCode :
2567038
Title :
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
Link To Document :
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