Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals

The multicommodity flow problem arises when several different commodities are transshipped from specific supply nodes to the corresponding demand nodes through the arcs of an underlying capacity network. The maximum flow over time problem concerns to maximize the sum of commodity flows in a given ti...

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Main Authors: Urmila Pyakurel, Shiva Prakash Gupta, Durga Prasad Khanal, Tanka Nath Dhamala
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/2020/2676378
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author Urmila Pyakurel
Shiva Prakash Gupta
Durga Prasad Khanal
Tanka Nath Dhamala
author_facet Urmila Pyakurel
Shiva Prakash Gupta
Durga Prasad Khanal
Tanka Nath Dhamala
author_sort Urmila Pyakurel
collection DOAJ
description The multicommodity flow problem arises when several different commodities are transshipped from specific supply nodes to the corresponding demand nodes through the arcs of an underlying capacity network. The maximum flow over time problem concerns to maximize the sum of commodity flows in a given time horizon. It becomes the earliest arrival flow problem if it maximizes the flow at each time step. The earliest arrival transshipment problem is the one that satisfies specified supplies and demands. These flow over time problems are computationally hard. By reverting the orientation of lanes towards the demand nodes, the outbound lane capacities can be increased. We introduce a partial lane reversal approach in the class of multicommodity flow problems. Moreover, a polynomial-time algorithm for the maximum static flow problem and pseudopolynomial algorithms for the earliest arrival transshipment and maximum dynamic flow problems are presented. Also, an approximation solution to the latter problem is obtained in polynomial-time.
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institution Kabale University
issn 0161-1712
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language English
publishDate 2020-01-01
publisher Wiley
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series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-9d60daf0a5154f79b0a40c1ffee845a52025-02-03T06:43:42ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252020-01-01202010.1155/2020/26763782676378Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane ReversalsUrmila Pyakurel0Shiva Prakash Gupta1Durga Prasad Khanal2Tanka Nath Dhamala3Central Department of Mathematics, Tribhuvan University, P.O. Box 13143, Kathmandu, NepalTribhuvan University, Tri-Chandra Multiple Campus, Kathmandu, NepalTribhuvan University, Saraswati Multiple Campus, Kathmandu, NepalCentral Department of Mathematics, Tribhuvan University, P.O. Box 13143, Kathmandu, NepalThe multicommodity flow problem arises when several different commodities are transshipped from specific supply nodes to the corresponding demand nodes through the arcs of an underlying capacity network. The maximum flow over time problem concerns to maximize the sum of commodity flows in a given time horizon. It becomes the earliest arrival flow problem if it maximizes the flow at each time step. The earliest arrival transshipment problem is the one that satisfies specified supplies and demands. These flow over time problems are computationally hard. By reverting the orientation of lanes towards the demand nodes, the outbound lane capacities can be increased. We introduce a partial lane reversal approach in the class of multicommodity flow problems. Moreover, a polynomial-time algorithm for the maximum static flow problem and pseudopolynomial algorithms for the earliest arrival transshipment and maximum dynamic flow problems are presented. Also, an approximation solution to the latter problem is obtained in polynomial-time.http://dx.doi.org/10.1155/2020/2676378
spellingShingle Urmila Pyakurel
Shiva Prakash Gupta
Durga Prasad Khanal
Tanka Nath Dhamala
Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals
International Journal of Mathematics and Mathematical Sciences
title Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals
title_full Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals
title_fullStr Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals
title_full_unstemmed Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals
title_short Efficient Algorithms on Multicommodity Flow over Time Problems with Partial Lane Reversals
title_sort efficient algorithms on multicommodity flow over time problems with partial lane reversals
url http://dx.doi.org/10.1155/2020/2676378
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AT durgaprasadkhanal efficientalgorithmsonmulticommodityflowovertimeproblemswithpartiallanereversals
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