Genetic Programming, and Evolutionary Computation at
large have been extremely successful in the last decade across
a wide range of problems and applications. Current applications are
characterized by an ever growing complexity and a pronounced
distributed nature. While the use of centralized or hierarchical
architectures and algorithms has been dominant so far, they are
now becoming impractical because they have poor scalability and
fault-tolerance characteristics. Since evolutionary algorithms are
ideally suited to population partitioning and structuring, distributed
and parallel approaches appear to be a natural way to
cope with the growing computational burden associated with large
problems.
The aim of this Special Issue is to provide the reader with
contributions discussing recent advances and an indication of
future trends in the theory, development, and application of
parallel and distributed evolutionary algorithms. We encourage
submission of papers describing new concepts, models, and
strategies, along with papers describing systems and tools that
provide practical implementations. Papers describing either
hardware or software aspects of parallel and distributed
architectures are welcome. In addition, we are interested in
application papers discussing the power and applicability of these
parallel methods to real-world problems in any area of interest,
such as evolutionary design, optimization, and emerging fields
such as computational biology.
Subjects will include (but are not limited to):
– parallel and distributed evolutionary algorithms models
– theory of structured evolutionary algorithms
– performance evaluation of parallel and distributed
evolutionary algorithms
– applications of parallel and distributed evolutionary computing
– parallel and distributed implementations: software and
hardware aspects
Important dates:
* Paper submission deadline: May 15, 2009 [extended from April 30, 2009]
* Notification of acceptance: June 30, 2009
* Final manuscript: August 31, 2009
Paper Submission:
Authors are encouraged to submit high-quality, original work
that has neither appeared in, nor is under consideration by, other
journals. All submissions will be peer reviewed subject to the
standards of the journal. Manuscripts based on previously
published conference papers must be extended substantially.
Springer offers authors, editors and reviewers of Genetic
Programming and Evolvable Machines a web-enabled online
manuscript submission and review system. Our online system
offers authors the ability to track the review process of their
online system offers easy and straightforward log-in and submission
procedures, and supports a wide range of submission file formats.
All enquiries on this special issue by perspective authors should
be sent to the guest editors at the addresses below.
Guest editors:
Marco Tomassini
Information Systems Institute
University of Lausanne, Lausanne, Switzerland
marco.tomassini@unil.ch
Tel: +41 21 6923589
Leonardo Vanneschi
Department of Informatics, Systems and Communication (D.I.S.Co.)
Building U14, Office n. 2004
viale Sarca, 336
University of Milano-Bicocca, Milano, Italy
vanneschi@disco.unimib.it
Tel.: +39 02 64487874
Editor-in-Chief: Lee Spector, Hampshire College
Founding Editor: Wolfgang Banzhaf, Memorial University of Newfoundland
Journal Website: www.springer.com/10710
