Bio-Inspired Algorithms for Distributed Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Folino:2010:fgcs,

• 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 = "http://grid.dimes.unical.it/papers/pdf/BioInspiredSI-FGCS.pdf",
• 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

Citations