| |||||||||||||
AAI-SICOP 2012 : Special issue on Swarm Intellingence for Combinatorial Optimization Problems | |||||||||||||
Link: http://downloads.hindawi.com/journals/aai/si/sicop.pdf | |||||||||||||
| |||||||||||||
Call For Papers | |||||||||||||
CALL FOR PAPERS
Journal of Advances in Artificial Intelligence http://www.hindawi.com/journals/aai/ Special issue on Swarm Intellingence for Combinatorial Optimization Problems http://downloads.hindawi.com/journals/aai/si/sicop.pdf ================================================= Swarm intelligence (SI) is a collective computational intelligence approach in which computational systems are built inspiring of natural systems such as the behavior of animal societies, e.g. bird flocking and fish schools, and of social insects, e.g. ants, bees, and wasps colonies. It has been shown that the algorithms inspired of collective behavior of social insects can solve complex, ill-structured and semi-defined problems in a more efficient way. Recently, SI algorithms and approaches have been proposed to solve combinatorial optimization problems, which is a class of very hard problems that are used to be models of real-world problems. The aim of this special issue is to provide the up-to-date advancement of research on swarm intelligence as well as the-state-of-the-art of swarm intelligence for combinatorial optimization problems. We invite researchers to submit their original contributions that provide novel solutions to challenging problems. Submitted papers can address theoretical or practical aspects of progress in this area as well as new directions in swarm intelligence. Potential topics (but not limited to) include: • Theory of collective and swarm intelliegence, • Advances in swarm intelligence algorithms including ant colony optimisation, particular swarm optimisation, bee algorithms etc. • Real-world applications of Particle Swarm Optimization, Differential Evolution, Bees Algorithms and Ant Colony Optimisation, • New computational models and techniques based on Swarm Intelligence, • New hybrids between these algorithms and other methods. • Model of the behavior of natural and artificial Swarm Intelligence systems • Representation techniques. • Neighborhoods and efficient algorithms for searching. • Comparisons between different (also exact) techniques Important Dates Manuscript Due: Friday, 13 April 2012 First Round of Reviews: Friday, 6 July 2012 Publication date: Friday, 31 August 2012 Notes for Prospective Authors Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/aai/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/. Lead Guest Editor Mehmet Sevkli Fatih University, Istanbul, Turkey E-mail: msevkli@fatih.edu.tr Guest Editor Mehmet E. Aydin University of Bedfordshire, UK E-mail: mehmet.aydin@beds.ac.uk Guest Editor Gianni Di Caro IDSIA - "Dalle Molle" Institute for Artificial Intelligence Galleria 2 6928 Manno, Switzerland Email: gianni@idsia.ch |
|