Using Genetic Programming to Search for Supply Chain Reordering Policies

Abstract

The authors investigate using genetic programming as atool for finding good heuristics for supply chainrestocking strategies. In this paper they outline theirmethod that integrates a supply chain simulation withgenetic programming. The simulation is used to scorethe population members for the evolutionary algorithmwhich is, in turn, used to search for members thatmight perform better on the simulation. The fitness ofa population member reflects its relative performancein the simulation. This paper investigates both theeffectiveness of this method and the parameter settingsthat make it more or less effective.