A Computational Method for the Solution of Optimizing Facility Location Problem in the Non-Convex Set

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Abstract:

Facility location problems arise for planning and stationing serve centers including waste disposal sites, hospitals, distribution centers, post offices, and fire stations. The single facility location problem can be modeled by a fixed point problem. Commonly the definition set of variables are requested as a convex set. In real world applications, the collection of feasible sites to locate always is non-convex set. The contribution of this paper is to apply the theorem of existence of the solution of fixed point problem to discuss the facility location problem in non-convex definition set of variables and obtain the computational result. Numerical example shows that the numerical method by tracing the homotopy pathway with predictor-corrector is an effective method to solving the facility location problem and a global optimal solution can be obtained.

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Periodical:

Advanced Materials Research (Volumes 1073-1076)

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1376-1379

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Z. Drezner: Facility location: a survey of applications and methods (Springer-Verlag, New York 1995).

Google Scholar

[2] E. Cascetta: Transportation Systems Analysis (Springer Optimization and Its Applications 29, 2009).

Google Scholar

[3] S.N. Chow, J. Mallet-Paret and J.A. Yorke: Finding zeros of maps: homotopy methods that are constructive with probability one, Math. Comput., 32 (1978), pp.887-899.

DOI: 10.1090/s0025-5718-1978-0492046-9

Google Scholar

[4] B. Yu and Z. Lin: Homotopy method for a class of nonconvex Brouwer fixed point problems, Applied Mathematics and Computation, 74 (1996), pp.65-77.

DOI: 10.1016/0096-3003(95)00089-5

Google Scholar

[5] Q. Xu: Interior-point homotopy method for solving nonlinear programing and variational inequalities, Phd thesis, University of Jilin, Changchun (2003).

Google Scholar

[6] J. Nocedal and S. J. Wright: Numerical Optimization (Springer-Verlag, New York 1999).

Google Scholar