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
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;
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-7834-7
DOI :
10.1109/CEC.2011.5949800
