Managing Information Complexity of Supply Chains via Agent-Based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Taniguchi:2002:MIC,

• author = "Ken Taniguchi and Setsuya Kurahashi and Takao Terano",
• title = "Managing Information Complexity of Supply Chains via Agent-Based Genetic Programming",
• volume = "2417",
• pages = "596",
• year = "2002",
• booktitle = "PRICAI 2002: Trends in Artificial Intelligence : 7th Pacific Rim International Conference on Artificial Intelligence",
• editor = "M. Ishizuka and A. Sattar",
• series = "LNAI",
• address = "Tokyo, Japan",
• publisher_address = "Heidelberg",
• month = "18-22 " # aug,
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-44038-3",
• CODEN = "LNCSD9",
• ISSN = "0302-9743",
• bibdate = "Tue Sep 10 19:10:22 MDT 2002",
• DOI = "doi:10.1007/3-540-45683-X_67",
• acknowledgement = ack-nhfb,
• size = "1 page",
• abstract = "This paper proposes 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 cope with 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.",

}

Genetic Programming entries for Ken Taniguchi Setsuya Kurahashi Takao Terano

Citations