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Optimization and Engineering

Erschienen in:

12.10.2012

A fuzzy approach to transport optimization problem

verfasst von: Sudhagar Chandran, Ganesan Kandaswamy

Erschienen in: Optimization and Engineering | Ausgabe 4/2016

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Abstract

This paper presents an algorithm to solve a fuzzy transportation problem in which demand, supply and transportation costs are uncertain. Existing solution methods convert a fuzzy transportation problem into two or more crisp transportation problems and solves it. But, the proposed algorithm solves a fuzzy transportation problem without converting it into a crisp transportation problem. This approach results in a fuzzy total transportation cost, which is a fuzzy number. Sudhagar score method is used to rank fuzzy numbers. In comparing results of existing methods with the proposed method, this algorithm outperforms the previous ones. Two numerical examples explain working procedure of the proposed algorithm.

Vorheriger Artikel Parallel block coordinate minimization with application to group regularized regression

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Equality is defined according to (iv) of Remark 1.

Allocations of a transportation problem are said to be in independent positions if it is not possible to alter any individual allocation without either rearranging the positions of the allocations or violating the supply and demand constraints.

An independent cell is one from which a closed path cannot be traced.

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Titel: A fuzzy approach to transport optimization problem
verfasst von: Sudhagar Chandran
Ganesan Kandaswamy
Publikationsdatum: 12.10.2012
Verlag: Springer US
Erschienen in: Optimization and Engineering / Ausgabe 4/2016
Print ISSN: 1389-4420
Elektronische ISSN: 1573-2924
DOI: https://doi.org/10.1007/s11081-012-9202-6

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