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Author (up) Alvarez-Miranda, E.; Pereira, J.; Torrez-Meruvia H.; Vila, M.
Title A Hybrid Genetic Algorithm for the Simple Assembly Line Balancing Problem with a Fixed Number of Workstations Type
Year 2021 Publication Mathematics Abbreviated Journal Mathematics
Volume 9 Issue 17 Pages 2157
Keywords assembly lines; manufacturing; line balancing; hybrid genetic algorithm
Abstract The assembly line balancing problem is a classical optimisation problem whose objective is to assign each production task to one of the stations on the assembly line so that the total efficiency of the line is maximized. This study proposes a novel hybrid method to solve the simple version of the problem in which the number of stations is fixed, a problem known as SALBP-2. The hybrid differs from previous approaches by encoding individuals of a genetic algorithm as instances of a modified problem that contains only a subset of the solutions to the original formulation. These individuals are decoded to feasible solutions of the original problem during fitness evaluation in which the resolution of the modified problem is conducted using a dynamic programming based approach that uses new bounds to reduce its state space. Computational experiments show the efficiency of the method as it is able to obtain several new best-known solutions for some of the benchmark instances used in the literature for comparison purposes.
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ISSN 2227-7390 ISBN Medium
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Notes WOS:000694360700001 Approved
Call Number UAI @ alexi.delcanto @ Serial 1466
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