Towards Evolution of Software Agents in Electronic Commerce

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

@InProceedings{zhu:2001:tesaec,
  author =       "Fangming Zhu and Sheng-Uei Guan",
  title =        "Towards Evolution of Software Agents in Electronic
                 Commerce",
  booktitle =    "Proceedings of the 2001 Congress on Evolutionary
                 Computation CEC2001",
  year =         "2001",
  pages =        "1303--1308",
  address =      "COEX, World Trade Center, 159 Samseong-dong,
                 Gangnam-gu, Seoul, Korea",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "27-30 " # may,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, software
                 agents, agent evolution, agent-based electronic
                 commerce, e-commerce, modularized agent structure,
                 multiagent evolution cycle, electronic commerce,
                 multi-agent systems",
  ISBN =         "0-7803-6658-1",
  DOI =          "doi:10.1109/CEC.2001.934341",
  abstract =     "With the development of Internet computing and
                 software agent technologies, agent-based electronic
                 commerce (e-commerce) is emerging. Software agents have
                 demonstrated tremendous potential in conducting various
                 tasks in e-commerce. However, when agents are initially
                 created, they have little knowledge and experience with
                 relatively lower capability. They should also strive to
                 adapt themselves to the changing environment. It is
                 advantageous if they have the ability to learn and
                 evolve. This paper addresses evolution of software
                 agents in e-commerce. Agent fitness and life cycle are
                 proposed as evolution mechanisms, and modularised agent
                 structure is introduced to facilitate the evolution
                 process. Genetic Programming (GP) operators are
                 employed to restructure agents in the proposed
                 multi-agent evolution cycle",
  notes =        "CEC-2001 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 01TH8546C,

                 Library of Congress Number = .

                 SAFER. Multi-Agent (modular) evolution. Factory
                 simulation. Java.",
}

Genetic Programming entries for Fangming Zhu Sheng-Uei Guan

Citations