Managing information complexity of supply chains via agent-based genetic programming

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

@Article{oai:inderscience.com:7267,
  title =        "Managing information complexity of supply chains via
                 agent-based genetic programming",
  author =       "Ken Taniguchi and Takao Terano",
  journal =      "International Journal of Electronic Business",
  number =       "3/4",
  publisher =    "Inderscience Publishers",
  year =         "2005",
  month =        jun # "~30",
  volume =       "3",
  ISSN =         "1741-5063",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  language =     "eng",
  oai =          "oai:inderscience.com:7267",
  pages =        "216--224",
  relation =     "ISSN online: 1741-5063 ISSN print: 1470-6067 DOI:
                 10.1504/05.7267",
  rights =       "Inderscience Copyright",
  source =       "IJEB (2005), Vol 3 Issue 3/4, pp 216 - 224",
  keywords =     "genetic algorithms, genetic programming, supply chain
                 management, SCM, information entropy, information
                 complexity, information management, manufacturing
                 firms, decision making agents, blackboard architecture,
                 distributed artificial intelligence, DAI, purchasing,
                 sales, inventory, simulation, agent-based systems,
                 multi-agent systems, genetic algorithms, e-business,
                 electronic business",
  URL =          "http://www.inderscience.com/link.php?id=7267",
  abstract =     "This paper proposes agent-based formulation of a
                 supply chain management (SCM) system for manufacturing
                 firms. We model each firm as a decision-making 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 has shown good performance
                 against the dynamic environmental changes.",
  notes =        "Address: Graduate School of Systems Management,
                 University of Tsukuba, Otsuka 3-29-1, Bunkyo-ku, Tokyo
                 112 0012, Japan. ' Graduate School of Systems
                 Management, University of Tsukuba, Otsuka 3-29-1,
                 Bunkyo-ku, Tokyo 112 0012, Japan
                 taniguti@gssm.otsuka.tsukuba.ac.jp,
                 terano@gssm.otsuka.tsukuba.ac.jp",
}

Genetic Programming entries for Ken Taniguchi Takao Terano

Citations