2013 - MC 2013 2013 IEEE Workshop on Memetic Computing

MC 2013

2013 IEEE Workshop on Memetic Computing

Memetic computation (MC) represents one of the recent growing areas in computational intelligence. Inspired by Darwinian principles of natural evolution and Dawkins notion of a meme, the term “Memetic Algorithm” (MA) is generally viewed as being close to a form of population-based hybrid global evolutionary algorithm (EA) coupled with a learning procedure capable of local refinements. In diverse contexts, MAs are also commonly known as hybrid EAs, Baldwinian EAs, Lamarckian EAs, cultural algorithms and genetic local search. The rapidly growing research interest in MA is demonstrated by the significant increase in the number of research publications on MA.
MC offers a broader scope that captures appropriately the essence of existing and potential work in the field. It is defined as a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving. Besides MA, Representations in the forms such as decision tree, artificial neural works, fuzzy system, graphs, etc., are examples of various manifestations of memes encoding. Taking a lead from the multi-faceted definitions and roles of the term "meme" in memetics, a plethora of potentially rich MC methodologies, frameworks and operational meme-inspired algorithms have been developed with considerable success in several real-world domains in the last two decades.
Despite the vast research on MC, there remain many open issues and opportunities that are continually emerging as intriguing challenges for the field. The expanse of MC remains largely untapped and judging from the research activities devoted to this area in the last few years, it is a matter of time before we see more demonstrative and ground-breaking applications in this rich research arena. The aim of this symposium is to reflect the latest advances in MC, to explore the emerging or future directions of memetic research in computational intelligence, and to raise the awareness of the computing community at large on this effective technology. Specifically, we endeavor to demonstrate the current state-of-the-art concepts, theory, and practice of MC.

Topics

Authors are invited to submit their original and unpublished work in the following areas:

Novel competitive, collaborative and cooperative frameworks of memetic computation,
Analytical and/or theoretical studies that enhance our understanding on the behaviors of memetic computation,
Formal and Probabilistic Single/Multi-Objective memetic frameworks,
Cognitive, Brain, individual learning, and social learning inspired memetic computation
Partial or full or meta-Lamarckian/Baldwinian, meta-learning, agent based memetic computation.
Memetic frameworks using surrogate or approximation methods,
Memetic frameworks for computationally expensive problems and real-world applications,
Knowledge incorporation in memetic computation
Keynote, Tutorial and Panel Sessions

Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.

Special Sessions

Please forward your special session proposals to Symposium Co-Chairs.

Workshop Co-Chairs

Dr. Zexuan Zhu
College of Computer Science and Software Engineering, Shenzhen University, China
E-mail: zhuzx-AT-szu.edu.cn

Dr. Maoguo Gong
Institute of Intelligent Information Processing, Xidian University, China
E-Mail: gong-AT-ieee.org
Homepage: http://see.xidian.edu.cn/faculty/mggong/index.htm

Dr. Zhen Ji
College of Computer Science and Software Engineering, Shenzhen University, China
E-mail: jizhen-AT-szu.edu.cn
Homepage: http://csse.szu.edu.cn/Staffs/jiZhen.shtml

Dr. Yew-Soon Ong
School of Computer Engineering, Nanyang Technological University, Singapore
E-mail: asysong-AT-ntu.edu.sg
Homepage: http://www.ntu.edu.sg/home/asysong/

Program Committee (tentative)

Prof. Pablo Moscato, The University of Newcastle, Australia
Prof. Hisao Ishibuchi, Osaka Prefecture University, Japan
Prof. Qingfu Zhang, University of Essex, UK
Prof. Licheng Jiao, Xidian University, China
Dr. Jim Smith, University of the West of England
Dr. Natalio Krasnogor, University of Nottingham, United Kingdom
Dr. Goh, Chi Keong, Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd, Singapore
Dr. Swagatam Das, Jadavpur University, India
Dr. Steven Gustafson, GE Global Research, USA
Dr. Chuan-Kang Ting, National Chung Cheng University, Taiwan
Dr. Ferrante Neri, University of Jyväskylä, Finland
Dr. Shaheen Fatima, Loughborough University, United Kingdom
Dr. Ke Tang, University of Science and Technology of China, China
Dr. Yong Wang, Central South University of China, China
Dr. Kai Qin, School of Automation, Southeast University, China
Dr. Bin Li, University of Science and Technology of China, China