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A Multi-exchange Heuristic for a Production Location Problem

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Book cover AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

In this work, we develop a multi-exchange heuristic based on an estimation improvement graph embedded in a simulated annealing to solve a problem arising in plant location planning where tariff exemptions apply. The method is shown to be effective in experiments since it provides good solutions for problems of realistic size. It is superior to CPLEX in terms of time, and is able to provide solutions for large test problems.

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References

  1. Ahuja, R.K., Ergun, O., Orlin, J.B., Punnen, A.P.: A survey of very large-scale neighborhood search techniques. Discrete Applied Mathematics 123, 75–102 (2002)

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  4. Guo, Y., Li, Y., Lim, A., Rodrigues, B.: A multi-exchange heuristic for a production location problem. working paper (2005), http://ihome.ust.hk/~ieyanzhi/FTA2.pdf

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© 2005 Springer-Verlag Berlin Heidelberg

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Guo, Y., Li, Y., Lim, A., Rodrigues, B. (2005). A Multi-exchange Heuristic for a Production Location Problem. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_99

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  • DOI: https://doi.org/10.1007/11589990_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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