Naslov
Influence of the Crossover Operator in the Performance of the Hybrid Taguchi GA

Autori
Picek, Stjepan ; Golub, Marin ; Jakobović, Domagoj

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2012 IEEE Congress on Evolutionary Computation / Xiaodong Li - Brisbane, 2012, 1480-1487

ISBN
0-7803-8515-2

Skup
IEEE Congress on Evolutionary Computation CEC 2012

Mjesto i datum
Brisbane, Australija, 10.06.2012. - 15.06.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetic algorithms ; Representation and operators

Sažetak
This paper investigates the influence of different crossover operators on the efficiency of the hybrid Taguchi genetic algorithm and aims to provide guidelines for algorithm's usage in continuous optimization. We examine the hybrid Taguchi genetic algorithm (HTGA) with 8 different crossover operators and apply it to 15 benchmark numerical optimization problems. The implementation uses binary representation which maps chromosomes to values in real domain with arbitrary precision. Different crossover operators are used with the HTGA and a detailed statistical analysis is performed to evaluate their performance. The results indicate that the HTGA obtains better results with crossover operators different than the ones commonly reported in literature.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA