Using a Genetic Program to Search for Supply Chain Reordering

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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