Pregled bibliografske jedinice broj: 876990
An overview of the genetic algorithm and its use for finding extrema ─ with implementations in MATLAB
An overview of the genetic algorithm and its use for finding extrema ─ with implementations in MATLAB // Tehnički glasnik, 10 (2016), 3-4; 55-70 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 876990 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An overview of the genetic algorithm and its use for finding extrema ─ with implementations in MATLAB
Autori
Hižak, Jurica ; Logožar, Robert
Izvornik
Tehnički glasnik (1846-6168) 10
(2016), 3-4;
55-70
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
genetic algorithm, fitness function, function extrema, stochastic iterative prisoner dilemma
Sažetak
The paper outlines the main concepts of the genetic algorithm (GA) in a combined, educational-scientific style. Every step of the GA is first motivated by its biological paragon, then mathematically formalized and explained on simple examples, and finally supported by implementations in MATLAB. Two programs that use GA for the illustrative cases of finding functions’ extrema are shown. The authors conclude the paper by presenting the original use of GA in the Stochastic Iterated Prisoner Dilemma, which gave a new insight into this problem.
Izvorni jezik
Engleski
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
Uključenost u ostale bibliografske baze podataka::
- EBSCOhost Academic Research Complete, Hrčak
