Heuristic shortest path algorithms for transportation applications: State of the art [An article from: Computers and Operations Research] Buy on Amazon

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Heuristic shortest path algorithms for transportation applications: State of the art [An article from: Computers and Operations Research]

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PublisherElsevier
ISBN / ASINB000RR8Z0I
ISBN-13978B000RR8Z08
AvailabilityAvailable for download now
Sales Rank10,454,748
MarketplaceUnited States  🇺🇸

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This digital document is a journal article from Computers and Operations Research, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
There are a number of transportation applications that require the use of a heuristic shortest path algorithm rather than one of the standard, optimal algorithms. This is primarily due to the requirements of some transportation applications where shortest paths need to be quickly identified either because an immediate response is required (e.g., in-vehicle route guidance systems) or because the shortest paths need to be recalculated repeatedly (e.g., vehicle routing and scheduling). For this reason a number of heuristic approaches have been advocated for decreasing the computation time of the shortest path algorithm. This paper presents a survey review of various heuristic shortest path algorithms that have been developed in the past. The goal is to identify the main features of different heuristic strategies, develop a unifying classification framework, and summarize relevant computational experience.
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