Abstract
A multi-objective mathematical model and an improved Genetic Algorithm (GA) are formulated for storage location assignment of the fixed rack system. According to the assignment rules, the optimization aim is to maximize the storage/retrieval efficiency and to keep the stability of the rack system. The improved GA with Pareto optimization and Niche Technology are developed. The approach considers Pareto solution sets with the traditional operators, while the Niche Technology distributes the solutions uniformly in Pareto solution sets. The realization of the approach ensures storage location assignment optimization and offers a dynamic decision making scheme for automated storage and retrieval system (AS/RS). © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Wu, Q., Zhang, Y., & Ma, Z. (2010). Optimization of storage location assignment for fixed rack systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6318 LNCS, pp. 29–35). https://doi.org/10.1007/978-3-642-16515-3_5
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