The integration of association rule mining and artificial immune network for supplier selection and order quantity allocation
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Publication:902803
DOI10.1016/j.amc.2014.11.015zbMath1328.90017OpenAlexW2150736183MaRDI QIDQ902803
Publication date: 4 January 2016
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2014.11.015
particle swarm optimizationsupplier selectionorder quantity allocationoptimization artificial immune networkTD-FP-growth algorithm
Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (3)
Big data analytics in supply chain management: a state-of-the-art literature review ⋮ Sources of uncertainty and risk quantification methods in supply chain management: a literature study ⋮ Parallel extraction of association rules from genomics data
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