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A genetic algorithm-based approach to machine assignment problem

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Publication:5466733
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DOI10.1080/00207540500045956zbMath1068.90043OpenAlexW1968788080WikidataQ126250566 ScholiaQ126250566MaRDI QIDQ5466733

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Publication date: 25 August 2005

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500045956

zbMATH Keywords

genetic algorithmsjob-shop schedulingmachine assignmentmachining flexibility


Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)


Related Items

Genetic algorithms in supply chain management: a critical analysis of the literature, A two-stage heuristic approach for nurse scheduling problem: a case study in an emergency department, The application of genetic algorithms to lot streaming in a job-shop scheduling problem, Flexible job-shop scheduling problem under resource constraints



Cites Work

  • A genetic algorithm for the job shop problem
  • Evolution based learning in a job shop scheduling environment
  • A review of manufacturing flexibility
  • The Shifting Bottleneck Procedure for Job Shop Scheduling
  • CASE: A clustering algorithm for cell formation with sequence data
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