Title :
Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization
Author :
Elsayed, Saber M. ; Sarker, Ruhul A. ; Essam, Daryl L. ; Hamza, Noha M.
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, ACT, Australia
Abstract :
This paper puts forward a proposal for combining multi-operator evolutionary algorithms (EAs), in which three EAs, each with multiple search operators, are used. During the evolution process, the algorithm gradually emphasizes on the best performing multi-operator EA, as well as the search operator. The proposed algorithm is tested on the CEC2014 single objective real-parameter competition. The results show that the proposed algorithm has the ability to reach good solutions.
Keywords :
evolutionary computation; mathematical operators; CEC2014 real-parameter numerical optimization; CEC2014 single objective real-parameter competition; multiple search operators; united multioperator evolutionary algorithm testing; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Optimization; Sociology; Statistics; Vectors; evolutionary algorithms; multi-method algorithms; multi-operator algorithms;
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
DOI :
10.1109/CEC.2014.6900308
