Naslov
On the genotype compression and expansion for evolutionary algorithms in the continuous domain

Autori
Planinić, Lucija ; Đurasević, Marko ; Mariot, Luca ; Jakobović, Domagoj ; Picek, Stjepan ; Coello Coello, Carlos

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

Izvornik
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion / - , 2021, 1208-1216

Skup
Genetic and Evolutionary Computation Conference

Mjesto i datum
Lille, Francuska, 10.07.2021. - 14.07.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Continuous space search ; Bio-inspired approaches

Sažetak
This paper investigates the influence of genotype size on evolutionary algorithms' performance. We consider genotype compression (where genotype is smaller than phenotype) and expansion (genotype is larger than phenotype) and define different strategies to reconstruct the original variables of the phenotype from both the compressed and expanded genotypes. We test our approach with several evolutionary algorithms over three sets of optimization problems: COCO benchmark functions, modeling of Physical Unclonable Functions, and neural network weight optimization. Our results show that genotype expansion works significantly better than compression, and in many scenarios, outperforms the original genotype encoding. This could be attributed to the change in the genotype-phenotype mapping introduced with the expansion methods: this modification beneficially transforms the domain landscape and alleviates the search space traversal.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA