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A Hybrid Iterated Local Search for Solving a Particular Two-Stage Fixed-Charge Transportation Problem

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Hybrid Artificial Intelligent Systems (HAIS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10870))

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Abstract

In the current paper we take a different approach to a particular capacitated two-stage fixed-charge transportation problem proposing an efficient hybrid Iterated Local Search (HILS) procedure as a means of solving the above-mentioned problem. Our approach is a heuristic one; it constructs an initial solution while using a local search procedure whose aim is to increase the exploration, namely a perturbation mechanism. For the purpose of diversifying the search, a neighborhood structure is used to hybridize it. The preliminary computational results that we achieved stand as proof to the fact that the solution we propose yields high-quality solutions within reasonable running-times.

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Cosma, O., Pop, P., Oliviu, M., Zelina, I. (2018). A Hybrid Iterated Local Search for Solving a Particular Two-Stage Fixed-Charge Transportation Problem. In: de Cos Juez, F., et al. Hybrid Artificial Intelligent Systems. HAIS 2018. Lecture Notes in Computer Science(), vol 10870. Springer, Cham. https://doi.org/10.1007/978-3-319-92639-1_57

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  • DOI: https://doi.org/10.1007/978-3-319-92639-1_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92638-4

  • Online ISBN: 978-3-319-92639-1

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