Pregled bibliografske jedinice broj: 457060
Genetic algorithm for optimizing service distributions
Genetic algorithm for optimizing service distributions // Neurocomputing, 73 (2010), 4-6; 661-668 doi:10.1016/j.neucom.2009.09.019 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 457060 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Genetic algorithm for optimizing service distributions
Autori
Jurasović, Krešimir ; Kušek, Mario
Izvornik
Neurocomputing (0925-2312) 73
(2010), 4-6;
661-668
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Multi-agent system ; Mobile agent network ; Genetic algorithm ; Simulation
Sažetak
This paper deals with optimizing the distribution of services performed by agents in a mobile agent network (MAN) using a genetic algorithm. The MAN is a model which consists of agents and various network elements and nodes. Each agent is capable of performing remote software management services. In order to verify the efficiency of various service distributions on different network topologies, we developed a mobile agent network simulator. This simulator allows the user to define the services which need to be performed by agents and describe the physical network used in the process. In this paper, an approach using a genetic algorithm is proposed. This algorithm is used to generate a suboptimal distribution of services among agents which optimizes the total execution time of services on a variety of network topologies with different network parameters.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0362027-1639 - Isporuka sadržaja i pokretljivost korisnika i usluga u mrežama nove generacije (Matijašević, Maja, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
