Co-evolutionary genetic algorithm for multi-machine scheduling: Coping with high performance variability

DOI10.1080/00207540110079419zbMath1175.90156OpenAlexW1971586626MaRDI QIDQ4443376

Dong Hyun Baek, Wan Chul Yoon

Publication date: 11 January 2004

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

Full work available at URL: https://doi.org/10.1080/00207540110079419

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

Transfer batch scheduling using genetic algorithms ⋮ Dynamic bus scheduling of multiple routes based on joint optimization of departure time and speed

Cites Work

• A genetic algorithm for the job shop problem
• A Survey of Scheduling Rules
• Job shop scheduling with a genetic algorithm and machine learning
• A spatial rule adaptation procedure for reliable production control in a wafer fabrication system

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