Bio-Inspired Algorithms for Distributed Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Gianluigi Folino and Carlo Mastroianni",
  title =        "Bio-Inspired Algorithms for Distributed Systems",
  journal =      "Future Generation Computer Systems",
  year =         "2010",
  volume =       "26",
  number =       "6",
  pages =        "835--837",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "3 pages",
  abstract =     "This special section is dedicated to the use and
                 evaluation of bio-inspired algorithms for the design
                 and implementation of distributed computing systems.
                 This issue collects the revised and extended versions
                 of the five best papers presented at BADS 2009, the
                 Workshop on Bio-Inspired Algorithms for Distributed
                 Systems that was hosted by ICAC 2009, the 6th IEEE
                 International Conference on Autonomic Computing held in
                 Barcelona, Spain, in June 2009. The papers of this
                 special section present bio-inspired solutions for
                 important problems such as overlay construction and
                 resource discovery in P2P networks, job mapping in a
                 heterogeneous environment, and data dissemination and
                 aggregation in wireless sensor networks, for which
                 special attention is given to the important issue of
                 energy saving. The five papers confirm that the
                 bio-inspired paradigm naturally provides such
                 characteristics as decentralization, self-organization,
                 flexibility, and energy saving, which are essential to
                 efficiently cope with the ever increasing complexity of
                 distributed computing systems.",

Genetic Programming entries for Gianluigi Folino Carlo Mastroianni