TITLE

An Optimization-Based Heuristic for Vehicle Routing and Scheduling with Soft Time Window Constraints

AUTHOR(S)
Koskosidis, Yiannis A.; Powell, Warren B.; Solomon, Marius M.
PUB. DATE
May 1992
SOURCE
Transportation Science;May92, Vol. 26 Issue 2, p69
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This article focuses on a study that describes an optimization-based heuristic for vehicle routing and scheduling with soft time window constraints in traffic. The problem of vehicle routing (VRP) with time window constraints arises in a variety of applications, including retail distribution, mail and newspaper delivery, municipal waste collection, fuel oil delivery, school bus routing, airline and railroad scheduling, trucking and bargeline fleet scheduling, demand responsive bus systems, and more. The article discusses a new methodological approach for the time constrained VRP, based on the generalized assignment heuristic proposed by researchers M. Fisher and R. Jaikumar. A significant change from the original generalized assignment heuristic is its iterative application where approximate clustering costs are successively improved. Loose capacity constraints are very desirable for local insertion and improvement heuristics, since they allow more flexibility to perform local operations, such as insertion of a customer in an existing tour or pair-wise switches between tours.
ACCESSION #
4454306

 

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