A review of the current applications of genetic algorithms in assembly line balancing |
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Authors: | Seren Ozmehmet Tasan Semra Tunali |
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Affiliation: | (1) Department of Industrial Engineering, Dokuz Eylul University, 35100 Bornova, Izmir, Turkey |
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Abstract: | Most of the problems involving the design and plan of manufacturing systems are combinatorial and NP-hard. A well-known manufacturing
optimization problem is the assembly line balancing problem (ALBP). Due to the complexity of the problem, in recent years,
a growing number of researchers have employed genetic algorithms. In this article, a survey has been conducted from the recent
published literature on assembly line balancing including genetic algorithms. In particular, we have summarized the main specifications
of the problems studied, the genetic algorithms suggested and the objective functions used in evaluating the performance of
the genetic algorithms. Moreover, future research directions have been identified and are suggested. |
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Keywords: | Assembly line balancing Genetic algorithms Chromosome representation Fitness evaluation Genetic operators |
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