Special Session on Memetic Computing
2013 IEEE Congress on Evolutionary Computation (CEC 2013)
June 20-23, Fiesta Americana Grand Coral Beach Hotel, Cancún, México
http://www.cec2013.org/

banner

Important Dates
Initial Submission:
Feb. 15, 2013
Notification of Acceptance:
Apr. 08, 2013
Final Paper Submission:
Apr. 26, 2013

The Special Session on Memetic Computing (MC) within CEC 2013 is organized by IEEE CIS Emergent Technologies Task Force on Memetic Computing to serve as a platform for researchers to exchange the latest advances in theories, technologies, and applications of MC.

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. 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 areas including, but not limited to:

  • 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

Paper Submission:

All papers should be submitted electronically through: http://www.cec2013.org/?q=papersubmi
All accepted papers will be published in the CEC 2013 electronic proceedings, included in the IEEE Xplore digital library, and indexed by  EI Compendex.

Co-Chairs

Zexuan Zhu
College of Computer Science and Software Engineering, Shenzhen University, China
E-mail: zhuzx [@] szu.edu.cn
Homepage: http://csse.szu.edu.cn/staff/zhuzx/

Yew-Soon Ong
School of Computer Enginerring, Nanyang Technological University, Singapore
E-mail: asysong [@] ntu.edu.sg
Homepage: http://www.ntu.edu.sg/home/asysong/

Kay-Chen Tan
Department of Electrical and Computer Engineering, National University of Singapore
E-Mail:eletankc [@] nus.edu.sg
Homepage: http://vlab.ee.nus.edu.sg/~kctan/

Program Committee (tentative)

Dr. Anna Kononova, Heriot-Watt University, UK
Dr. Bin Li, University of Science and Technology of China, China
Dr. Bo. Liu, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
Dr. Chuan-Kang Ting, National Chung Cheng University, Taiwan
Dr. Dirk Sudholt, The University of Sheffield, UK
Dr. Ernesto Mininno, University of Jyväskylä, Finland
Dr. Ferrante Neri, University of Jyväskylä, Finland
Dr. Goh, Chi Keong, Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd, Singapore
Prof. Hisao Ishibuchi, Osaka Prefecture University, Japan
Dr. János Botzheim, Tokyo Metropolitan University, Japan
Dr. Jim Smith, University of the West of England
Prof. Jin-Kao Hao, University of Angers, France
Dr. Jing Liang, Zhenzhou University, China
Dr. Kai Qin, MISTIS Team at INRIA Grenoble Rhone-Alpes, France
Prof. Kay Chen Tan, National University of Singapore, Singapore
Dr. Ke Tang, University of Science and Technology of China, China
Dr. Lee Kee Khoon, Institute of High Performance Computing, A-Star, Singapore
Prof. Licheng Jiao, Xidian University, China
Prof. Meng-Hiot Lim, Nanyang Technological University, Singapore
Prof. Mengjie Zhang, Victoria University of Wellington, New Zealand
Dr. Natalio Krasnogor, University of Nottingham, United Kingdom
Prof. Pablo Moscato, The University of Newcastle, Australia
Prof. Qingfu Zhang, University of Essex, UK
Dr. Shaheen Fatima, Loughborough University, United Kingdom
Dr. Steven Gustafson, GE Global Research, USA
Dr. Swagatam Das, Jadavpur University, India
Prof. Tomas Maul, The University of Nottingham Malaysia Campus, Malaysia
Dr. Xiao Yang, Broad Institute of MIT and Harvard, USA
Prof. Yanqing Zhang, Georgia State University, USA
Prof. Yaochu Jin, University of Surrey, UK
Dr. Yew-Soon Ong, Nanyang Technological University, Singapore
Dr. Ying-Ping Chen, National Chiao Tung University, Taiwan
Dr. Yong Wang, Central South University of China, China
Prof. Zhen Ji, Shenzhen University, China

IEEE logo CIS logo