Pregled bibliografske jedinice broj: 353593
Optimizing Service Distributions Using a Genetic Algorithm
Optimizing Service Distributions Using a Genetic Algorithm // Lecture Notes in Artificial Intelligence, Subseries of Lecture Notes in Computer Science ; Knowledge-Based Intelligent Information and Engineering Systems, 5177 (2008), 1; 158-165 doi:10.1007/978-3-540-85563-7_25 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 353593 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimizing Service Distributions Using a Genetic Algorithm
Autori
Jurasović, Krešimir ; Kušek, Mario ;
Izvornik
Lecture Notes in Artificial Intelligence, Subseries of Lecture Notes in Computer Science ; Knowledge-Based Intelligent Information and Engineering Systems (0302-9743) 5177
(2008), 1;
158-165
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). The MAN model consists of agents, capable of performing remote software management services, and of various network elements and nodes used by agents during service execution. In order to verify various service distributions a Mobile Agent Network Simulator was developed. This simulator allows the user to define the services which need to be performed by the agents and describe the physical network used in the process. In this paper, an approach using a genetic algorithm which optimizes the distribution of services with the objective to reduce the network load and total execution time is presented.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, 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:
- Scopus
