Bio-Inspired Algorithms for Distributed Systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Folino:2010:fgcs,
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author = "Gianluigi Folino and Carlo Mastroianni",
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title = "Bio-Inspired Algorithms for Distributed Systems",
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journal = "Future Generation Computer Systems",
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year = "2010",
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volume = "26",
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number = "6",
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pages = "835--837",
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month = jun,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://grid.dimes.unical.it/papers/pdf/BioInspiredSI-FGCS.pdf",
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size = "3 pages",
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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