Using a Genetic Program to Search for Supply Chain Reordering

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{moore:2004:GPTP,
  author =       "Scott A. Moore and Kurt DeMaagd",
  title =        "Using a Genetic Program to Search for Supply Chain
                 Reordering",
  booktitle =    "Genetic Programming Theory and Practice {II}",
  year =         "2004",
  editor =       "Una-May O'Reilly and Tina Yu and Rick L. Riolo and 
                 Bill Worzel",
  chapter =      "13",
  pages =        "207--223",
  address =      "Ann Arbor",
  month =        "13-15 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, parameter
                 tuning, supply chain, simulation, restocking policies,
                 application",
  ISBN =         "0-387-23253-2",
  DOI =          "doi:10.1007/0-387-23254-0_13",
  abstract =     "The authors investigate using genetic programming as a
                 tool for finding good heuristics for supply chain
                 restocking strategies. In this paper they outline their
                 method that integrates a supply chain simulation with
                 genetic programming. The simulation is used to score
                 the population members for the evolutionary algorithm
                 which is, in turn, used to search for members that
                 might perform better on the simulation. The fitness of
                 a population member reflects its relative performance
                 in the simulation. This paper investigates both the
                 effectiveness of this method and the parameter settings
                 that make it more or less effective.",
  notes =        "part of \cite{oreilly:2004:GPTP2}",
}

Genetic Programming entries for Scott A Moore Kurt DeMaagd

Citations