Balancing stochastic two-sided assembly line with multiple constraints using hybrid teaching-learning-based optimization algorithm

•Stochastic two-sided assembly line balancing with multiple constraints is considered.•New priority-based decoding approach is developed to deal with multiple constraints.•Hybrid TLBO algorithm is developed by combing the TLBO, crossover operator and VNS.•Comparative evaluation of eleven algorithms...

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Veröffentlicht in:	Computers & operations research Jg. 82; S. 102 - 113
Hauptverfasser:	Tang, Qiuhua, Li, Zixiang, Zhang, LiPing, Zhang, Chaoyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.06.2017 Pergamon Press Inc
Schlagworte:	Assembly lines Multiple constraints Optimization algorithms Stochastic models Stochastic two-sided assembly line balancing Studies Task analysis Teaching-learning-based Optimization Variable neighborhood search Teaching-learning-based Optimization Stochastic two-sided assembly line balancing Multiple constraints Variable neighborhood search
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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