Aim and Scope
Diverse forms of opposition are already existent virtually everywhere around us and the interplay between entities and opposite entities is fundamental for maintaining universal balance and harmony. However, it seems that there is a gap regarding oppositional thinking in engineering, mathematics and computer science. A better understanding of opposition could potentially establish new search, reasoning, optimization and learning schemes with a wide range of applications.
The main idea of opposition-based learning (OBL) is to consider opposite estimates, actions or states as an attempt to increase the coverage of the solution space and to reduce exploration time. OBL has already been applied to reinforcement learning, differential evolution, artificial neural network, particle swarm optimization, ant colony optimization, and genetic algorithm, etc. Example applications include large scale optimization problem, multi-objective optimization, traveling salesman problem, data mining, nonlinear system identification, image processing and understanding. However, finding killer applications for OBL is still a hard task that is heavily pursued.
The objective of this special session is to bring together the state-of-art research results and industrial applications on this topic. Contributed papers must be the original work of the authors and should not have been published or under consideration by other journals or conferences. Topics of primary interest include, but are not limited to:
- Motivation and theory of opposition-based learning
- Opposition-based optimization techniques
- Reasoning and search strategies in opposition-based computing
- Real-world applications in signal processing, pattern recognition, image understanding, robotics, social networking, etc.
- Other methodologies and applications associated with opposition-based learning
Important Dates
Paper Submission:
December 20, 2013Paper Acceptance Notification: March 15, 2014
Final Paper Submission: April 15, 2014
Paper Submission
Manuscripts should be prepared according to the standard format and page limit of regular papers
specified in CEC 2014 webpage, and submitted via the official submission system of IEEE CEC 2014.
All papers submitted to special sessions will be subject to the same peer-review review procedure as
the regular papers. All accepted papers will be published in the CEC electronic proceedings and
included in the IEEE Xplore digital library, and indexed by EI Compendex.
Note: Please choose "SS7. EC07: Recent Advances on Opposition-Based Learning &
Applications" from the "
S. SPECIAL SESSIONS" category as the main research topic of your paper
in submission.
Organizers
Dr. Shahryar Rahnamayan
Associate Professor
Department of Electrical, Computer, and Software Engineering
University of Ontario Institute of Technology (UOIT), Canada
Email:
shahryar.rahnamayan@uoit.ca
Dr. Hamid R. Tizhoosh
Professor
Department of Systems Design Engineering
University of Waterloo, Canada
Email:
tizhoosh@uwaterloo.ca
Dr. Qingzheng Xu (corresponding)
Department of Information Service
Xi’an Communication Institute, China
Email:
xuqingzheng@hotmail.com
Dr. Hui Wang
School of Information Engineering
Nanchang Institute of Technology, China
Email:
huiwang@whu.edu.cn
Program Committee (to be continued)
Dr. Sakti Prasad Ghoshal
Department of Electrical Engineering
National Institute of Technology, India
Dr. Maoguo Gong
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education
Xidian University, China
Dr. Zhijian Wu
State Key Lab of Software Engineering
Wuhan University, China
Dr. Lei Wang
School of Computer Science and Engineering
Xi'an University of Technology, China
Dr. Xiaozhi Gao
Department of Automation and Systems Technology
Aalto University, Finland
Dr. Millie Pant
Department of Applied Science and Engineering
Saharanpur Campus of Indian Institute of Technology Roorkee, India
Dr. Mohammed El-Abd
Department of Electrical and Computer Engineering
American University of Kuwait, Kuwait
Dr. Hajira Jabeen
Computer Science Department
Iqra University, Pakistan
Dr. Wenlong Fu
School of Engineering and Computer Science
Victoria University of Wellington, New Zealand
Dr. Lining Zhang
School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore
Dr. Muhammad Imran
Faculty of Computer Science and Information Technology
University Tun Hussein Onn Malaysia, Malaysia
Dr. Dongdong Yang
School of Computer Sciences and Engineering
Xi'an Univesity of Technology, China
Please check the
CEC 2014 web site for additional information.