DocumentCode :
239073
Title :
Differential evolution with a constraint consensus mutation for solving optimization problems
Author :
Hamza, Noha M. ; Essam, Daryl L. ; Sarker, Ruhul A.
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, NSW, Australia
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
991
Lastpage :
997
Abstract :
In the literature, a considerable number of mutation operators have been proposed, which are the key search operators in differential evolution algorithm for solving optimization problems. Although those operators were developed in the context of unconstrained optimization, they were widely used in constrained optimization. However, those operators did not contain any mechanism that would reduce the constraint violation in the search process. Therefore, in this paper, a new mutation operator based on the constraint consensus method is proposed, which can help infeasible points reach the feasible region quickly. The algorithm is tested on the CEC2010 constrained benchmark problems. The experimental results show that the proposed algorithm is able to obtain better solutions in comparison with the state-of-the-art algorithms.
Keywords :
evolutionary computation; optimisation; search problems; constrained benchmark problems; constrained optimization; constraint consensus mutation method; constraint violation reduction; differential evolution algorithm; feasible region; infeasible points; mutation operators; search operators; search process; unconstrained optimization; Algorithm design and analysis; Evolution (biology); Evolutionary computation; Optimization; Sociology; Statistics; Vectors; Constrained optimization; constraint consensus; differential evolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
Type :
conf
DOI :
10.1109/CEC.2014.6900474
Filename :
6900474
Link To Document :
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