Presentation 1994/11/25
Job-shop scheduling by Simulated annealing combined with deterministic local search
Takeshi Yamada, Ryohei Nakano,
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Abstract(in English) The Job Shop Scheduling Problem is one of the most difficult NP- hard combinatorial optimization problems.This research investigates finding near optimal schedules using simulated annealing,stochastic local search mechanism,combined with shifting bottleneck (SB) procedure,problem specific deterministic local search method.New schedules are generated by Giffler and Thompson's active schedule generating method with permuting operations on critical path.Simulated annealing (SA) probabilistically chooses one of the new schedules and probabilistically accepts or rejects it.Modified SB is applied to repair the rejected schedule and accept it in case it is improved over the old schedule.Experimental results show this method can find near optimal schedules for the difficult benchmark problems and can outperform other existing local search algorithms.
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Keyword(in English) Simulated annealing / job-ship scheduling / active schedule / shitting bottlneck
Paper # AI94-55
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Committee AI
Conference Date 1994/11/25(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Job-shop scheduling by Simulated annealing combined with deterministic local search
Sub Title (in English)
Keyword(1) Simulated annealing
Keyword(2) job-ship scheduling
Keyword(3) active schedule
Keyword(4) shitting bottlneck
1st Author's Name Takeshi Yamada
1st Author's Affiliation Communication Science Labortories,NTT()
2nd Author's Name Ryohei Nakano
2nd Author's Affiliation Communication Science Labortories,NTT
Date 1994/11/25
Paper # AI94-55
Volume (vol) vol.94
Number (no) 374
Page pp.pp.-
#Pages 8
Date of Issue