A multi‐objective hybrid evolutionary search algorithm for parallel production line balancing problem including disassembly and assembly tasks

DOI10.1111/itor.13220OpenAlexW4306160180MaRDI QIDQ6080593

Lixia Zhu, Zeqiang Zhang, Chao Guan, Yarong Chen

Publication date: 4 October 2023

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/itor.13220

zbMATH Keywords

multi-objective optimizationremanufacturinghybrid evolutionary search algorithmparallel production line including disassembly and assembly tasksproduction line balancing

Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)

Cites Work

• An investigation of nature inspired algorithms on a particular vehicle routing problem in the presence of shift assignment
• A systematic approach for an application of personnel selection in assembly line balancing problem
• Disassembly line in product recovery
• Fuzzy mathematical programming approaches for reverse supply chain optimization with disassembly line balancing problem
• Improved integer programming models for simple assembly line balancing and related problems
• Bi‐criteria formulation for green scheduling with unrelated parallel machines with sequence‐dependent setup times
• Solving the multi‐objective bike routing problem by meta‐heuristic algorithms
• The impact of product characteristics and innovativeness on the benefits of collaboration
• A novel variable neighborhood strategy adaptive search for SALBP-2 problem with a limit on the number of machine's types

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