-------- Original-Nachricht -------- Betreff: [computational.science] IJCIR Special Issue on Particle Swarm Optimization Datum: Tue, 19 Dec 2006 10:11:31 +0100 Von: Patrick SIARRY siarry@univ-paris12.fr Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
Call for papers
Int. Journal of Computational Intelligence Research (IJCIR)
Feature Issue on
Particle Swarm Optimization
Guest editors: Maurice Clerc, James Kennedy and Patrick Siarry
Particle Swarm Optimization (PSO) is a stochastic, population-based optimization algorithm introduced in 1995 by James Kennedy and Russel Eberhart. Many variants of PSO have been developed since, including constrained, multiobjective, and discrete or combinatorial versions, and applications have been developed using PSO in many fields. An international three-year project, XPS (eXtended Particle Swarms Project http://xps-swarm.essex.ac.uk/) involving five universities, was launched in October 2004.
Instead of competition/selection, like say in Evolutionary Computation, PSO makes use of cooperation, according to a paradigm sometimes called "swarm intelligence". Such systems are typically made up of a population of simple interacting agents without any centralized control, and inspired by examples that can be found in nature (ant colonies, bird flocking, animal herding, bacteria molding, fish schooling, etc.)
We take the opportunity of the second French-speaking PSO seminar OEP'2007 in April 2007 in Paris (http://www.particleswarm.info/oep_2007) to prepare a special issue of IJCIR about this method (that issue will include the extended versions of some communications presented at OEP2007, but all contributions outside the frame of the seminar are welcome). The goal is to collect state of-the-art research papers that discuss recent developments in that area and to highlight some general ideas.
Therefore, authors are invited to submit their original and unpublished works including, but not limited to, the following:
Modelling and analysis of PSO variations. Works about easy to use methods adaptive or even parameter-less ones would be particularly welcome
Theoretical optimization studies applicable to PSO
Comparisons with some other methods
Hybrid methods that make use of PSO
Real life applications
Important dates
Deadline for submissions: April 30th, 2007
Date of completion of the reviewing process: June 30th, 2007
Submission process
We encourage authors to send submissions via email in PDF or Postscript format to Maurice.Clerc@WriteMe.com. The length of the camera-ready papers (if accepted) will be limited to 8 IJCIR style (use link http://www.padath.net/ to access LaTeX and Word styles) pages.
Alternatively four hard copies could be sent by mail to:
Patrick Siarry
University of Paris 12, LiSSi
61, avenue du Général de Gaulle, 94010 Créteil, FRANCE