The single-allocation hierarchical hub-median problem with fuzzy flows

Soheil Davari; Mohammad Hossein Fazel Zarandi

doi:10.1007/978-3-642-33941-7_17

The single-allocation hierarchical hub-median problem with fuzzy flows

Soheil Davari, Mohammad Hossein Fazel Zarandi

Amirkabir University of Technology

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7 Citations (SciVal)

Abstract

This paper addresses the problem of designing a hierarchical single-allocation hub-median (SA-H-HM) network considering fuzzy flows between nodes. The problem is modeled as a fuzzy mathematical programming model and a hybrid algorithm of population-based iterated local search (PILS) and fuzzy simulation is employed. Results clearly show that PILS is efficient in reaching solutions with virtually all the errors less than one percent to the optimal solutions. Moreover, the proposed PILS is capable to escape local optima. Finally, the results of the hybrid algorithm give insights about the problem under uncertainty. © 2013 Springer-Verlag Berlin Heidelberg.

Original language	English
Pages (from-to)	165-181
Number of pages	17
Journal	Advances in Intelligent Systems and Computing
Volume	195 AISC
DOIs	https://doi.org/10.1007/978-3-642-33941-7_17
Publication status	Published - 2013

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cited By 4

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abstract = "This paper addresses the problem of designing a hierarchical single-allocation hub-median (SA-H-HM) network considering fuzzy flows between nodes. The problem is modeled as a fuzzy mathematical programming model and a hybrid algorithm of population-based iterated local search (PILS) and fuzzy simulation is employed. Results clearly show that PILS is efficient in reaching solutions with virtually all the errors less than one percent to the optimal solutions. Moreover, the proposed PILS is capable to escape local optima. Finally, the results of the hybrid algorithm give insights about the problem under uncertainty. {\textcopyright} 2013 Springer-Verlag Berlin Heidelberg.",

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AU - Fazel Zarandi, Mohammad Hossein

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AB - This paper addresses the problem of designing a hierarchical single-allocation hub-median (SA-H-HM) network considering fuzzy flows between nodes. The problem is modeled as a fuzzy mathematical programming model and a hybrid algorithm of population-based iterated local search (PILS) and fuzzy simulation is employed. Results clearly show that PILS is efficient in reaching solutions with virtually all the errors less than one percent to the optimal solutions. Moreover, the proposed PILS is capable to escape local optima. Finally, the results of the hybrid algorithm give insights about the problem under uncertainty. © 2013 Springer-Verlag Berlin Heidelberg.

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JO - Advances in Intelligent Systems and Computing

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The single-allocation hierarchical hub-median problem with fuzzy flows

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