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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346055