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Holonic Job Shop Scheduling Using A Multiagent System
Oleh:
Walker, S. S.
;
Brennan, R. W.
;
Norrie, D. H.
Jenis:
Article from Bulletin/Magazine
Dalam koleksi:
IEEE Intelligent Systems vol. 20 no. 1 (2005)
,
page 50-57.
Topik:
multiagent systems
;
holonic job shop
;
schedulling
;
multiagent system
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II60
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Manufacturing job shop scheduling is a notoriously difficult problem that lends itself to various approaches - from optimal algorithms to suboptimal heuristics. We combined popular heuristic job shop - scheduling approaches with emerging AI techniques to create a dynamic and responsive scheduler. We fashioned our job shop scheduler's architecture around recent holonic manufacturing systems architectures and implemented our system using multiagent systems. Our scheduling approach is based on evolutionary algorithms but differs from common approaches by evolving the scheduler rather than the schedule. A holonic, multiagent systems approach to manufacturing job shop scheduling evolves the schedule creation rules rather than the schedule itself. The authors test their approach using a benchmark agent - based scheduling problem and compare performance results with other heuristic - scheduling approaches.
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