Hybrid DE Algorithm With Adaptive Crossover Operator For Solving Real-World Numerical Optimization Problems

被引:0
|
作者
Reynoso-Meza, Gilberto [1 ]
Sanchis, Javier [1 ]
Blasco, Xavier [1 ]
Herrero, Juan M. [1 ]
机构
[1] Univ Politecn Valencia, Inst Univ Automat & Informat Ind, Valencia 46022, Spain
来源
2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2011年
关键词
Differential Evolution algorithm; parameter selection; CEC competition; DIFFERENTIAL EVOLUTION ALGORITHM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1551 / 1556
页数:6
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