Neighbourhood generation mechanism applied in simulated annealing to job shop scheduling problems

DOI10.1080/00207721.2013.876679zbMath1332.90119OpenAlexW1999512942MaRDI QIDQ2792203

Marco Antonio Cruz-Chávez

Publication date: 8 March 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.876679

zbMATH Keywords

permutationslack timefeasible schedulefictitious slack timeinfeasible schedule

Mathematics Subject Classification ID

Applications of graph theory (05C90) Stochastic scheduling theory in operations research (90B36)

Cites Work

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• A hybrid genetic algorithm for the job shop scheduling problem
• Minimising makespan for two batch-processing machines with non-identical job sizes in job shop
• A revised simulated annealing algorithm for obtaining the minimum total tardiness in job shop scheduling problems
• The Shifting Bottleneck Procedure for Job Shop Scheduling
• Job Shop Scheduling by Simulated Annealing
• A Computational Study of the Job-Shop Scheduling Problem
• An efficient configuration generation mechanism to solve job shop scheduling problems by the simulated annealing algorithm
• Stochastic algorithms: Foundations and applications. International symposium, SAGA 2001, Berlin, Germany, December 13--14, 2001. Proceedings

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