Genetic algorithms for supply-chain scheduling: a case study in the distribution of ready-mixed concrete
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Publication:857351
DOI10.1016/J.EJOR.2005.12.019zbMath1110.90039OpenAlexW2003390304MaRDI QIDQ857351
Uzay Kaymak, Biagio Turchiano, Michele Surico, David Naso
Publication date: 14 December 2006
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2005.12.019
Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)
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Uses Software
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- A genetic algorithm for job sequencing problems with distinct due dates and general early-tardy penalty weights
- A heuristic methodology for order distribution in a demand driven collaborative supply chain
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