Abstract
This research is concern with logistic system design considering production/distribution planning in the view of multi-stage structure. The design tasks of this problem involve the choice of the facilities (plants and distribution centers) to be opened or not and the distribution network design to satisfy the demand with minimum cost. This problem is known as one of the NP-hard problems. To solve this problem, a hybrid spanning tree-based genetic algorithm, hst-GA, is proposed. In order to improve the performance of the proposed method, we develop a local search technique called displacing Prüfer number and adopt the concept fuzzy logic controller (FLC) to dynamically control the GA parameters. The effectiveness of the proposed method is checked by comparing its computational experiment result with those of other traditional methods.
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Gen, M., Syarif, A. (2003). Multi-stage Supply Chain Network by Hybrid Genetic Algorithms. In: Verdegay, JL. (eds) Fuzzy Sets Based Heuristics for Optimization. Studies in Fuzziness and Soft Computing, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36461-0_12
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DOI: https://doi.org/10.1007/978-3-540-36461-0_12
Publisher Name: Springer, Berlin, Heidelberg
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