Enhanced competitive differential evolution for constrained optimization

Author

Tvrdík, Josef ; Poláková, Radka

Author_Institution

Dept. of Comput. Sci., Univ. of Ostrava, Ostrava, Czech Republic

fYear

2010

fDate

18-20 Oct. 2010

Firstpage

909

Lastpage

915

Abstract

The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility region is proposed, where opposition-based optimization and adaptive controlled random search are combined. Various variants of the algorithm are experimentally compared on the benchmark set developed for the special session of IEEE Congress of Evolutionary Computation (CEC) 2010. The results of the enhanced competitive DE show effective search of feasible solutions, in difficult problems significantly better than the competitive DE variant presented at CEC 2010.

Keywords

constraint handling; evolutionary computation; random processes; search problems; adaptive controlled random search; constrained optimization; enhanced competitive differential evolution; hybridized search; opposition based optimization; Aerospace electronics; Benchmark testing; Heuristic algorithms; Minimization; Optimization; Process control; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on

Conference_Location

Wisla

ISSN

2157-5525

Print_ISBN

978-1-4244-6432-6

Type

conf

DOI

10.1109/IMCSIT.2010.5680058

Filename

5680058