Enhancing Evolution of Truss Structures by Using Genetic algorithms

Stanković, Tino; Marjanović, Dorian; Bojčetić, Nenad; Ščap, Dragutin

Pregled bibliografske jedinice broj: 388628

Enhancing Evolution of Truss Structures by Using Genetic algorithms

Stanković, Tino; Marjanović, Dorian; Bojčetić, Nenad; Ščap, Dragutin;

Enhancing Evolution of Truss Structures by Using Genetic algorithms // Transactions of FAMENA, 33 (2009), 1; 1-10 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 388628 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Enhancing Evolution of Truss Structures by Using Genetic algorithms

Autori
Stanković, Tino ; Marjanović, Dorian ; Bojčetić, Nenad ; Ščap, Dragutin ;

Izvornik
Transactions of FAMENA (1333-1124) 33 (2009), 1; 1-10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
structural optimization; truss structures; struggle genetic algorithm

Sažetak
This paper proposes a method of decoding genotype into phenotype when evolving truss structures by using genetic algorithms. Genotype is represented as a collection of binary encoded nodes. A simple algorithm for decoding is proposed taking into consideration the nodal arrangement and specific rules that had to be satisfied to get a truss structure on the phenotypic level. Motivation was drawn from deficiencies of current optimization methods, which focus on either parameters or structure topology only. Results of the proposed coding scheme method by using the struggle genetic algorithm (SGA) are presented.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Strojarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA

Projekti:
120-1201829-1828 - Modeli i metode upravljanja znanjem u razvoju proizvoda (Marjanović, Dorian, MZOS ) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Nenad Bojčetić (autor)