Transfer batch scheduling using genetic algorithms

DOI10.1080/00207540600920843zbMath1160.90478OpenAlexW2068838506MaRDI QIDQ5385427

V. S. Millas, G.-C. Vosniakos

Publication date: 6 May 2008

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

Full work available at URL: https://doi.org/10.1080/00207540600920843

zbMATH Keywords

heuristicsgenetic algorithmsbatch schedulingtransfer batches

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Cites Work

• Evolution based learning in a job shop scheduling environment
• Scheduling with batching: A review
• Job shop scheduling with a genetic algorithm and machine learning
• A two-phase genetic algorithm to solve variants of the batch sequencing problem
• Co-evolutionary genetic algorithm for multi-machine scheduling: Coping with high performance variability
• A hybrid GA/heuristic approach to the simultaneous scheduling of machines and automated guided vehicles
• An analogue genetic algorithm for solving job shop scheduling problems
• Algorithms for Solving Production-Scheduling Problems

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