An Evolutionary Framework for Multi-agent Organizations

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Boyang Li and Han Yu and Zhiqi Shen and Lizhen Cui and 
                 Victor R. Lesser",
  booktitle =    "2015 IEEE/WIC/ACM International Conference on Web
                 Intelligence and Intelligent Agent Technology
  title =        "An Evolutionary Framework for Multi-agent
  year =         "2015",
  volume =       "2",
  pages =        "35--38",
  abstract =     "The organizational design of a multi-agent system
                 (MAS) is important for its efficiency, adaptability and
                 robustness. However, finding suitable organizational
                 structures for different MASs is a challenging problem.
                 In this paper, we propose a Framework of Evolutionary
                 Optimisation for Agent Organizations (FEVOR) based on
                 Genetic Programming for optimising tree-structured
                 MASs. FEVOR employs a flexible representation of
                 organizations and may be applied to a wide range of
                 organizational forms such as pure hierarchies,
                 holarchies, and federations. Compared to existing work,
                 FEVOR is capable of efficient quantitative search and
                 less vulnerable to stalling at local optima due to its
                 non-greedy nature. Extensive experiments for optimising
                 an information retrieval system have been conducted to
                 demonstrate the advantages of FEVOR in generating
                 suitable MAS organizations for adaptive environments.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/WI-IAT.2015.45",
  month =        dec,
  notes =        "Georgia Inst. of Technol., Atlanta, GA, USA Also known
                 as \cite{7397312}",

Genetic Programming entries for Boyang Li Han Yu Zhiqi Shen Lizhen Cui Victor R Lesser