SUBMISSION DUE DATE: February 15, 2011
SPECIAL ISSUE ON: Scatter Search and Path Relinking Methods
International Journal of Swarm Intelligence Research (IJSIR)
Guest Editor: Mahamed G. H. Omran
INTRODUCTION:
Scatter search (SS) is an evolutionary, population-based approach that has
been proposed in the late 1970s. SS combines diversification and
intensification methods to find good solutions for difficult optimization
problems. Path relinking (PR) is a generalized form of SS where paths are
generated between and beyond good solutions in neighborhood space, rather
than in Euclidean space. SS and PR have been successfully applied to a wide
range of optimization problems (e.g. single and multi-objective routing,
scheduling, nonlinear optimization, optimization in graphs, neural network
training, simulation optimization, unconstrained function optimization, etc.).
One difference between SS/PR and other evolutionary and swarm-based
approaches is that SS and PR place greater emphasis on strategic designs to
combine solutions in contrast to the strong emphasis on randomization in other
methods. Another difference is the focus on incorporating adaptive memory
strategies, which derives from the SS/PR association with tabu search. These
differences have resulted in producing proposals that are useful for
exploiting structure and for equipping a method to learn from the search
history.
OBJECTIVE OF THE SPECIAL ISSUE:
The main goals of this special issue are to familiarize the swarm
intelligence community with the concepts of SS and PR and to allow researchers
to consider ways that SS and PR may provide useful contributions to the swarm
perspective.
RECOMMENDED TOPICS:
Topics to be discussed in this special issue include (but are not limited
to) the following:
- Using concepts from SS and PR within a swarm-based method
(e.g. PSO, ACO, etc.)
- Using concepts from swarm-based approaches in SS/PR methods.
- Comparing the performance of SS/PR and swarm-based methods when
applied to some optimization problems.
- Real-world, complex or novel applications of SS and PR.
- Proposing new SS/PR variants.
- Developing swarm-based approaches that utilize strategic designs
in place of randomization
SUBMISSION PROCEDURE:
Researchers and practitioners are invited to submit papers for this
special theme issue on scatter search and path relinking methods on or
before November 15, 2010. All submissions must be original and may not be
under review by another publication. INTERESTED AUTHORS SHOULD CONSULT
THE JOURNAL'S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at
http://www.igi-global.com/development/author_info/guidelines submission.pdf.
All submitted papers will be reviewed on a double-blind, peer review basis.
Papers must follow APA style for reference citations.
ABOUT International Journal of Swarm Intelligence Research (IJSIR):
The mission of the IJSIR is to become a leading international and well-
referred journal in swarm intelligence, nature-inspired optimization
algorithms, and their applications. This journal publishes original and
previously unpublished articles including research papers, survey papers,
and application papers, to serve as a platform for facilitating and enhancing
the information shared among researchers in swarm intelligence research areas
ranging from algorithm developments to real-world applications
This journal is an official publication of the Information Resources
Management Association
www.igi-global.com/IJSIR
Editor-in-Chief: Yuhui Shi
Published: Quarterly (both in Print and Electronic form)
PUBLISHER:
The International Journal of Swarm Intelligence Research (IJSIR) is
published by IGI Global (formerly Idea Group Inc.), publisher of the
'Information Science Reference' (formerly Idea Group Reference) and
'Medical Information Science Reference' imprints. For additional information
regarding the publisher, please visit www.igi-global.com.
All submissions should be directed to the attention of:
Mahamed G.H. Omran
Guest Editor
International Journal of Swarm Intelligence Research
E-mail: omran.m@gust.edu.kw
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