Tabu Search
A Hybrid Genetic Algorithm for Assembly Line Balancing
Journal of Heuristics
Parametric tabu-search for mixed integer programs
Computers and Operations Research - Anniversary focused issue of computers & operations research on tabu search
A hybrid tabu search method for assembly line balancing
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Adaptive Tabu Search and Applications in Engineering Design
Proceedings of the 2006 conference on Integrated Intelligent Systems for Engineering Design
Dynamic compensation of hard-disk R/W head and head-stack
WSEAS TRANSACTIONS on SYSTEMS
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In this paper, the metaheuristic method consisting of the adaptive tabu search (ATS) and the practicing heuristic (PH) technique is proposed to provide optimal solutions of the assembly line balancing (ALB) problems. With the multi-objective approach, the ATS is used to address the number of tasks assigned for each workstation, while the PH is conducted to assign the sequence of tasks for each workstation according to precedence constraints. The proposed approach is tested against six benchmark ALB problems suggested by Scholl and one real-world ALB problem. Comparisons of optimal results obtained by the proposed method with those obtained by the single objective approach are elaborated.