Managing Information Complexity in a Supply Chain Model by Agent-Based Genetic Programming

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

@InProceedings{Taniguchi:2001:CEF,
  author =       "Ken Taniguchi and Setsuya Kurahashi and Takao Terano",
  title =        "Managing Information Complexity in a Supply Chain
                 Model by Agent-Based Genetic Programming",
  booktitle =    "7th International Conference of Society of
                 Computational Economics",
  year =         "2001",
  address =      "Yale",
  month =        "28-29 " # jun,
  organisation = "Society for Computational Economics",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://ideas.repec.org/p/sce/scecf1/238.html",
  URL =          "http://econpapers.repec.org/paper/scescecf1/238.htm",
  abstract =     "We propose agent-based formulation of a Supply Chain
                 Management (SCM) system for manufacturing firms. We
                 model each firm as an intelligent agent, which
                 communicates each other through the blackboard
                 architecture in distributed artificial intelligence. To
                 overcome the issues of conventional SCM systems, we
                 employ the concept of information entropy, which
                 represents the complexity of the purchase, sales, and
                 inventory activities of each firm. Based on the idea,
                 we implement an agent-based simulator to learn `good'
                 decisions via genetic programming in a logic
                 programming environment. From intensive experiments,
                 our simulator have shown good performance against the
                 dynamic environmental changes.",
  notes =        "CEF 2001 number 238. See also
                 \cite{taniguchi:2001:micscmagp}",
}

Genetic Programming entries for Ken Taniguchi Setsuya Kurahashi Takao Terano

Citations