A new crossover operator in Differential Evolution for numerical optimization

Author

Tayal, Devendra ; Gupta, Chaitali ; Jain, Abhishek

Author_Institution

Dept. of Comput. Sci. & Eng., GGSIP Univ., India

fYear

2012

fDate

19-20 Oct. 2012

Firstpage

1

Lastpage

5

Abstract

The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence and enhances the efficiency of the optimization strategy, used for numerical data.

Keywords

convergence of numerical methods; evolutionary computation; mathematical operators; mean square error methods; optimisation; DE; Holland; crossover operator; differential evolution; evolutionary algorithm convergence; evolutionary computation; numerical data optimization strategy efficiency enhancement; Convergence; Optimization; Particle swarm optimization; Sociology; Statistics; Vectors; Crossover operator; Differential Evolution (DE); Numerical Optimization; Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication, Information & Computing Technology (ICCICT), 2012 International Conference on

Conference_Location

Mumbai

Print_ISBN

978-1-4577-2077-2

Type

conf

DOI

10.1109/ICCICT.2012.6398178

Filename

6398178