DocumentCode :
2697364
Title :
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
Author :
Atashpaz-Gargari, Esmaeil ; Lucas, Caro
Author_Institution :
Univ. of Tehran, Tehran
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
4661
Lastpage :
4667
Abstract :
This paper proposes an algorithm for optimization inspired by the imperialistic competition. Like other evolutionary ones, the proposed algorithm starts with an initial population. Population individuals called country are in two types: colonies and imperialists that all together form some empires. Imperialistic competition among these empires forms the basis of the proposed evolutionary algorithm. During this competition, weak empires collapse and powerful ones take possession of their colonies. Imperialistic competition hopefully converges to a state in which there exist only one empire and its colonies are in the same position and have the same cost as the imperialist. Applying the proposed algorithm to some of benchmark cost functions, shows its ability in dealing with different types of optimization problems.
Keywords :
evolutionary computation; optimisation; benchmark cost functions; evolutionary algorithm; imperialist competitive algorithm; optimization problems; Evolutionary computation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4425083
Filename :
4425083
Link To Document :
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