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Multiobjective hub location problem
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Date
2009
Author
Barutçuoğlu, Aras
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In this study, we propose a two-phase solution approach for approximating the efficient frontier of a bicriteria hub location problem. We develop an evolutionary algorithm to locate the hubs on the network as the first phase. In the second phase, we develop a bounding procedure based on dominance relations and using the determined bounds, we solve the allocation subproblem for each located hub set. The two-phase approach is tested on the Australian Post data set and it is observed that our approach approximates the entire efficient frontier well. In addition, we suggest an interactive procedure to find the solutions that are in the decision maker’s preferred region of the solution space. In this procedure, we progressively incorporate the preferences of the decision maker and direct the search towards the preferred regions. Based on some computational experiments, it is observed that the interactive procedure converges to the preferred regions.
Subject Keywords
Industrial engineering.
URI
http://etd.lib.metu.edu.tr/upload/3/12610817/index.pdf
https://hdl.handle.net/11511/18670
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Graduate School of Natural and Applied Sciences, Thesis
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A. Barutçuoğlu, “Multiobjective hub location problem,” M.S. - Master of Science, Middle East Technical University, 2009.
