Abstract
The Vehicle Routing and Scheduling Problem with Time Window constraints is formulated as a mixed integer program, and optimization-based heuristics which extend the cluster-first, route-second algorithm of Fisher and Jaikumar are developed for its solution. We present a new formulation based on the treatment of the time window constraints as soft constraints that can be violated at a cost and we heuristically decompose the problem into an assignment/clustering component and a series of routing and scheduling components. Numerical results based on randomly generated and benchmark problem sets indicate that the algorithm compares favorably to state-of-the-art local insertion and improvement heuristics.
Published Version
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