Research Catalog

Agent-based evolutionary search

Title
Agent-based evolutionary search / Ruhul Amin Sarker and Tapabrata Ray (eds.).
Publication
Berlin : Springer-Verlag, ©2010.

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StatusFormatAccessCall NumberItem Location
TextUse in library QA76.76.I58 A3177 2010Off-site

Details

Additional Authors
  • Sarker, Ruhul A.
  • Ray, Tapabrata.
Description
xi, 284 pages : illustrations (some color); 24 cm.
Series Statement
Adaptation, learning, and optimization, 1867-4534 ; v. 5
Uniform Title
Adaptation, learning and optimization ; v. 5.
Subject
  • Multiagent systems
  • Evolutionary computation
  • Computer algorithms
  • Algorithms
  • Systèmes multiagents (Intelligence artificielle)
  • Réseaux neuronaux à structure évolutive
  • Algorithmes
  • algorithms
  • Algorithms
  • Computer algorithms
  • Evolutionary computation
  • Multiagent systems
  • Evolutionärer Algorithmus
  • Mehragentensystem
  • Maschinelles Lernen
Bibliography (note)
  • Includes bibliographical references and index.
Contents
Agent based evolutionary approach : an introduction / Ruhul A. Sarker, Tapabrata Ray -- Multi-agent evolutionary model for global numerical optimization / Jing Liu, Weicai Zhong, Licheng Jiao -- An agent based evolutionary approach for nonlinear optimization with equality constraints / Abu S.S.M. Barkat Ullah, Ruhul Sarker, Chris Lokan -- Multiagent-based approach for risk analysis in mission capability planning / Lam T. Bui, Axel Bender, Michael Barlow, Hussein A. Abbass -- Agent based evolutionary dynamic optimization / Yang Yan, Shengxiang Yang, Dazhi Wang -- Divide and conquer in coevolution : a difficult balancing act / Hermant Kumar Singh, Tapabrata Ray -- Complex emergent behaviour from evolutionary spatial animat agents / K.A. Hawick, C.J. Scogings -- An agent-based parallel ant algorithm with an adapative migration controller / Ying Lin, Jun Zhang -- An attempt to stochastic modeling of memetic systems / Aleksander Byrski, Robert Schaefer -- Searching for the effective bidding strategy using parameter tuning in genetic algorithm / Kim Soon Gan, Patricia Anthony, Jason Teo [and others] -- PSO (particle swarm optimization) : one method, many possible applications / Federico Cecconi, Marco Campenni -- VISPLORE : exploring particle swarms by visual inspection / Namrata Khemka, Christian Jacob.
ISBN
  • 9783642134241
  • 3642134246
  • 9783642134258
  • 3642134254
LCCN
2010929473
OCLC
  • ocn643795549
  • 643795549
  • SCSB-9200764
Owning Institutions
Princeton University Library