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2013 IEEE Workshop on Memetic Computing (MC 2013)
within 2013 IEEE Symposium Series on Computational Intelligence (SSCI 2013)
April 15-19, 2013, Singapore
Grand Copthorne Waterfront Hotel

organized by: IEEE CIS Emergent Technologies Task Force on Memetic Computing
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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.


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

Keynote, Tutorial and Panel Sessions

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

Special Sessions

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

Important Dates

Initial Submission: Dec 12, 2012
Notification of Acceptance: Jan 05, 2013
Final Paper Submission: Feb 05, 2013
Early Registration: Feb 05, 2013

Paper submission:

All papers should be submitted electronically through:
All accepted papers will be published in the SSCI electronic proceedings, included in the IEEE Xplore digital library, and indexed by EI.

Workshop Co-Chairs

Dr. Zexuan Zhu
College of Computer Science and Software Engineering, Shenzhen University, China

Dr. Ruhul Sarker
School of Engineering and Information Technology, The University of New South Wales, Australia

Dr. Maoguo Gong
Institute of Intelligent Information Processing, Xidian University, China

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