OverviewNature-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 will be the 2nd event of such topics, followed by the first successful event at CEC2015 in Japan.]
Topics of Interests: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 bat algorithm, cuckoo search, firefly algorithm and other algorithms.
- Applications of nature-inspired algorithms in feature selection, machine learning, classifications, clustering, design optimization, big data and other areas.
- Hybridization with other algorithms such as GA, PSO and others.
SubmissionPlease follow the IEEE CEC2016 instruction for authors and submit your paper via the IEEE CEC 2016 online submission system. Please specify that your paper is for the Special Session on "Bat Algorithm and Cuckoo Search".
Important Dates:Paper Submission Deadline: 15 Jan 2016
Notification of Acceptance: 15 Mar 2016
Final Paper Submission Deadline: 15 Apr 2016
Organizers:Prof. Xin-She Yang
School of Science and Technology, Middlesex University, London NW4 4BT, United Kingdom
Prof. Xingshi He
College of Science, Xi'an Polytechnic University, Xi'an, P. R. China
Biographies of the Organizers: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 published 15 books and about 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).
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.