Balancing mixed-model assembly lines with sequence-dependent tasks via hybrid genetic algorithm

DOI10.1007/s10898-015-0316-1zbMath1344.90040OpenAlexW608741489MaRDI QIDQ276510

Yanli Liang, Christodoulos A. Floudas, Qiuhua Tang, Xiaojun Cao, Li-Ping Zhang

Publication date: 4 May 2016

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-015-0316-1

zbMATH Keywords

hybrid genetic algorithmcombined precedence graphelite preservation strategymixed-model assembly line balancingsequence-dependent tasks

Mathematics Subject Classification ID

Integer programming (90C10) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Related Items (2)

Solving the Type-2 Assembly Line Balancing with Setups Using Logic-Based Benders Decomposition ⋮ Sequence-dependent time- and cost-oriented assembly line balancing problems: a combinatorial Benders’ decomposition approach

Cites Work

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