DocumentCode
2220050
Title
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems
Author
Reynoso-Meza, Gilberto ; Sanchis, Javier ; Blasco, Xavier ; Herrero, Juan M.
Author_Institution
Inst. Univ. de Autom. e Inf. Ind., Univ. Politec. de Valencia, Valencia, Spain
fYear
2011
fDate
5-8 June 2011
Firstpage
1551
Lastpage
1556
Abstract
In this paper, the results for the CEC 2011 Competition on testing evolutionary algorithms on real world optimization problems using a hybrid differential evolution algorithm are presented. The proposal uses a local search routine to improve convergence and an adaptive crossover operator. According to the obtained results, this algorithm shows to be able to find competitive solutions with reported results.
Keywords
convergence of numerical methods; differential algebraic equations; evolutionary computation; problem solving; search problems; adaptive crossover operator; convergence; differential evolution; evolutionary algorithms; hybrid DE algorithm; local search routine; problems solving; real-world numerical optimization; Dynamic scheduling; Economics; Evolutionary computation; Optimal control; Optimization; Proposals; Search problems; CEC competition; Differential Evolution algorithm; parameter selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location
New Orleans, LA
ISSN
Pending
Print_ISBN
978-1-4244-7834-7
Type
conf
DOI
10.1109/CEC.2011.5949800
Filename
5949800
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