Teams of autonomous agents for job-shop scheduling problems: An experimental study

Aydin M. E., Fogarty T. C.

Journal of Intelligent Manufacturing, cilt.15, sa.4, ss.455-462, 2004 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Özet
  • Cilt numarası: 15 Sayı: 4
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1023/b:jims.0000034108.66105.59
  • Dergi Adı: Journal of Intelligent Manufacturing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.455-462
  • Anahtar Kelimeler: Distributed and parallel computing, Multi-agent systems, Simulated annealing, Taboo search
  • İstanbul Ticaret Üniversitesi Adresli: Hayır

Özet

ATeams - teams of autonomous agents co-operating by sharing solutions through a common memory-have been proposed as a means of solving combinatorial optimization problems. In this paper, the ATeam architecture is tested on the job-shop scheduling problem. The results show that the method can work, but that it depends on the portfolio of agents and on the way in which the memory is managed.