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Bi-Level Programming Model and Taboo Search Algorithm in Industrial Location Under the Condition of Random Price

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Emerging Technologies for Information Systems, Computing, and Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 236))

Abstract

In this paper, the Bi-level programming model with random prize is presented to solve the industrial location problem. In terms of the binary coding, and controlling the location numbers on the operation of neighborhood, three kinds of neighbor domain are proposed by introducing the taboo search algorithm. In order to improve the taboo search algorithm for the efficiency and effectiveness of the addressed algorithm, the research utilizes a penalty function to deal with the constraints of the total amount of investment as well as introducing the principal of the model and TS. The representative example is used to illustrate the correctness of the optimal algorithm.

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Notes

  1. 1.

    The full name of all s. t. in the paper are subject to.

References

  1. William, G.T.: Timing market entry with a contribution-maximization approach to location-allocation decisions. Eur. J. Oper. Res. 4(2), 95–106(1980)

    Google Scholar 

  2. HodgBon, J.: A flow-capturing location allocation model. Geogr. Anal. 22(3), 270–279 (1990)

    Article  Google Scholar 

  3. Willoughby, K.A., Uyeno, D.H.: Resolving splits in location/allocation modeling: a heuristic procedure for transit center decisions. Transport. Res. E. Logist. Transport. Rev. 37(1), 71–83 (2001)

    Article  Google Scholar 

  4. Hsieh, K.H., Tien, F.C.: Self-organizing feature maps for solving location-allocation problems with rectilinear distances. Comput. Oper. Res. 31(7), 1017–1031 (2004)

    Article  MATH  Google Scholar 

  5. Zhou, J., Liu, B.D.: New stochastic models for capacitated location-allocation. Comput. Eng. 45(1), 111–125 (2003)

    Google Scholar 

  6. Louwers, D., Kip, B.J.: A facility location allocation model for reusing carpet materials. Comput. Ind. Eng. 36(4), 855–869 (1999)

    Article  Google Scholar 

  7. Niu, H-m: Class of traffic optimization model with stochastic parameters and genetic algorithm. J. Syst. Eng. 17(2), 103–108 (2002)

    Google Scholar 

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Correspondence to Yuan Qu .

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Qu, Y., Jiang, Zp. (2013). Bi-Level Programming Model and Taboo Search Algorithm in Industrial Location Under the Condition of Random Price. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_45

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  • DOI: https://doi.org/10.1007/978-1-4614-7010-6_45

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7009-0

  • Online ISBN: 978-1-4614-7010-6

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