Bat Algorithm and Cuckoo Search (BACS2016)
Special Session at CEC2016 (WCCI2016) 25-29 July 2016, Vancouver, Canada
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 will be the 2nd event of such topics, followed by the first successful event at CEC2015 in Japan.]
Scope and Topics:
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:
15 Jan 2016: Full Manuscript Submission
15 Mar 2016: Acceptance Notice
15 Apr 2016: Final version and Registration
25-29 July 2016: Conference in Vancouver
Organizers:
Prof. Xin-She Yang
School of Science and Technology, Middlesex University, London NW4 4BT, United Kingdom
Email: x.yang (at) mdx.ac.uk
Prof. Xingshi He
College of Science, Xi’an Polytechnic University, Xi’an, P. R. China