2018
DOI: 10.3126/jie.v13i1.20355
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Efficient Solution Approach to Maximum Flow Evacuation Planning Problem without Flow Conservation Aspect

Abstract: An attempt of shifting as more people as possible and/or their logistics from a dangerous place to a safer place is an evacuation planning problem. Such problems modeled on network have been extensively studied and the various efficient solution procedures have been established. The solution strategies for these problems are based on source-sink path augmentation and the flow function satisfies the flow conservation at each intermediate node. Besides this, the network flow problem in which flow may not be cons… Show more

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Cited by 2 publications
(4 citation statements)
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“…However, the model with the non-conservation constraint allows to keep at the intermediate places besides a maximum number of evacuees to send into the sink. A preliminary solution approach, which is based on the preflow and push algorithm investigated in [7], has been proposed in [1], [2] and [10].…”
Section: Introductionmentioning
confidence: 99%
“…However, the model with the non-conservation constraint allows to keep at the intermediate places besides a maximum number of evacuees to send into the sink. A preliminary solution approach, which is based on the preflow and push algorithm investigated in [7], has been proposed in [1], [2] and [10].…”
Section: Introductionmentioning
confidence: 99%
“…A solution procedure to the problem with single-source-single-sink network with holding capability of the flow at intermediate nodes has been proposed in [16] and [2]. The procedure is based on the time-expanded network with ∈ − ∈ … ∪ and…”
Section: Maximum Dynamic Flow Problemmentioning
confidence: 99%
“…Khadka and Bhandari [16] and Bhandari and Khadka [2] have purposed a modification on the preflow-push algorithm with an efficient solution procedure for a static network and have extended the problem on dynamic network. The solution for later case is based on time expanded network which has been explained in Section 4 below.…”
Section: The Preflow-push Algorithm and Its Modificationmentioning
confidence: 99%
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