CISUC - GVR Delivers It On Time
CISUC

GVR Delivers It On Time

Authors

Abstract

Genetic Vehicle Representation (GVR) is a new two-level
representational scheme designed to encode all the
information required by potential solutions for the vehicle
routing problem. In a previous paper we described a set of
experiments performed with several instances from the
Capacitated Vehicle Routing Problem (CVRP). In this
preliminary investigation, GVR proved to be both
effective and robust.
In this work we extend the application of this new genetic
representation to the vehicle routing problem with time
windows, a variant that adds additional time constraints to
the original definition. We present the results of a
comprehensive set of tests that show that GVR is also
efficient with this alternative, allowing the evolutionary
computation algorithm to reach optimal solutions for some
well know benchmarks.

Keywords

Representations, Vehicle Routing Problem, Time Windows

Subject

Evolutionary Optimization

Cited by

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