stochastic approach to vehicle routing problem: development and theories

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ID: 230810
2013
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Ranked #13 of 23 articles by views in Canadian journal of public health = Revue canadienne de sante publique

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Abstract
Stochastic Approach to Vehicle Routing Problem: Development and Theories Abstract In this article, a chance constrained (CCP) formulation of the Vehicle Routing Problem (VRP) is proposed. The reality is that once we convert some special form of probabilistic constraint into their equivalent deterministic form then a nonlinear constraint generates. Knowing that reliable computer software for large scaled complex nonlinear programming problem with 0-1 type decision variables for stochastic vehicle routing problem (SVRP) is not easily available merely then the value of an approximation technique becomes imperative. In this article, theorems which build a foundation for moving toward the development of an approximate methodology for solving SVRP are stated and proved. Key Words: Vehicle Routing Problem, Chance Constrained Programming, Linear approximation, Optimization.
Reference Key
mehrjerdi2013internationalstochastic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yahia Zare Mehrjerdi
Journal Canadian journal of public health = Revue canadienne de sante publique
Year 2013
DOI
DOI not found
URL
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-137-13&slc_lang=en&sid=1
Keywords
Technology vehicle routing problem linear approximation

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