Nature-inspired algorithms, especially swarm intelligence based algorithms, have become very popular in optimization and computational intelligence. New algorithms such as the bat algorithm and cuckoo search have demonstrated some distinct advantages and have thus been applied in many areas such as engineering optimization and image segmentation. Though the literature about the practical applications has expanded significantly in the last few years, theoretical studies lack behind.
This special session intends to provide a timely platform to exchange ideas about new bio-inspired optimization algorithms, with emphasis on the following topics (but not limited to):
- Theoretical analysis of new algorithms such as cuckoo search, firefly algorithm, and bat algorithm.
- Applications such as feature selection, classifications, design optimization and big data.
- Hybridization with other algorithms such as GA, PSO and others.
Important Dates:Paper submission: 19 Dec 2014
Acceptance notification: 20 Feb 2015
Final paper submission: 10 Mar 2015
Organizers:Xin-She Yang (School of Science and Technology, Middlesex University, United Kingdom email@example.com )
Xin-She Yang is a Reader/Research Professor at School of Science and Technology, Middlesex University (UK) and an Adjunct Professor at Reykjavik University (Iceland). He worked at Cambridge University and then National Physical Laboratory as a Senior Research Scientist after obtained his DPhil in Applied Mathematics at Oxford University. He is the Chair of IEEE CIS Task Force on Business Intelligence and Knowledge Management. He has authored/edited 15 books and published more than 200 papers, including the development of cuckoo search, bat algorithm and firefly algorithms. He is the Editor-in-Chief of Int. J. Mathematical Modelling and Numerical Optimisation (IJMMNO), and the Director of International Consortium for Modelling and Optimization in Science and Technology (iCOMSI). [For details, please refer to www.icomsi.org and http://scholar.google.co.uk/citations?user=fA6aTlAAAAAJ ]
Xingshi He (College of Science, Xi'an Polytechnic University, P. R. China firstname.lastname@example.org)
Xingshi He is Professor and Deputy Dean at School of Science, Xi'an Polytechnic University, China. He has many years research experience in mathematical modelling, statistics, and optimisation algorithms. He has published five books and more than 80 papers in journals and conference proceedings. He has won many awards, including Provincial Distinguished Professorship in 2005 and Silver Medal for Research Excellence in 2004.