CEC Special Session on Memetic Computing
2023 IEEE Congress on Evolutionary Computation (CEC 2023)
July 2–5, Swissôtel Chicago, USA

(Organized by IEEE CIS Emergent Technologies Task Force on Memetic Computing)

The Special Session on Memetic Computing (MC) is organized by IEEE CIS Emergent Technologies Task Force on Memetic Computing. MC represents a paradigm that uses the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving. MC has been successfully manifested as memetic algorithm, where meme has been typically perceived as individual learning procedures, adaptive improvement procedures or local search operators that enhance the capability of population-based search algorithms. Novel manifestations of meme in the forms such as knowledge building-block, decision tree, artificial neural works, fuzzy system, graphs, etc., have also been proposed for efficient problem-solving. These meme-inspired algorithms, frameworks and paradigms have demonstrated with considerable success in various real-world applications. The aim of this special session is to provide a forum for researchers to exchange the latest advances in theories, technologies, and practice of MC.

Scope and Topics

The scope of this special session covers, but is not limited to:

  • Single/Multi-objective/multi-tasking memetic algorithms.
  • Memetic algorithms for continuous or combinatorial optimization.
  • Theoretical studies that enhance our understandings on the behaviors of memetic computing.
  • Adaptive systems and meme coordination.
  • Novel manifestations of memes for problem-solving.
  • Cognitive, Brain, individual learning, and social learning inspired memetic computation.
  • Novel competitive, collaborative and cooperative frameworks of memetic computation.
  • Memetic frameworks using surrogate or approximation methods to solve expensive and complex real-world problems.
  • Data mining and knowledge learning in memetic computation paradigm.

Submission Guideline

All papers should be submitted electronically through: https://2023.ieee-cec.org/paper-submission/
Please specify that your paper is for the Special Session on Memetic Computing. You can find detailed instructions on how to submit your paper https://cmt3.research.microsoft.com/docs/help/author/author-submission-form.html
All accepted papers will be published in the CEC 2023 electronic proceedings, included in the IEEE Xplore digital library, and indexed by EI Compendex.

Important Dates

  • Paper Submission: January 13th, 2023
  • Paper Reviews: March 3rd, 2023
  • Paper Re-submissions: March 24th, 2023
  • Paper Final Notifications: March 31st, 2023
  • Print-Ready Manuscripts: April 15th, 2023


Zexuan Zhu
Shenzhen University, China.
Email: zhuzx@szu.edu.cn

Zexuan ZHU is a Professor with the College of Computer Science and Software Engineering, Shenzhen University, China. He received his B.Sc degree from the Department of Computer Science and Engineering, Fudan University, China, in 2003 and the Ph.D degree from the School of Computer Science and Engineering, Nanyang Technological University, Singapore, in 2008. His research interests include computational intelligence, machine learning, and bioinformatics. He is an Associate Editor of IEEE Transactions on Evolutionary Computation and IEEE Transactions on Emerging Topics in Computational Intelligence, and serves as the Editorial Board Member of Memetic Computing Journal. He is also the Chair of the IEEE CIS Emergent Technologies Task Force on Memetic Computing.

Ferrante Neri
University of Surrey, UK
Email: f.neri@surrey.ac.uk

Ferrante Neri received a Master's degree and a PhD in Electrical Engineering from the Technical University of Bari, Italy, in 2002 and 2007 respectively. In 2007, he also received a PhD in Scientific Computing and Optimization from University of Jyväskylä, Finland. From the latter institution, he received the DSc degree in Computational Intelligence in 2010.He was appointed Senior Assistant at the Department of Mathematical Information Technology at the Universityof Jyväskylä, Finland in 2007, and in 2009as a Research Fellow with Academy of Finland. Dr Neri moved to De Montfort University, United Kingdom in 2012, where he was appointed Reader in Computational Intelligence and in 2013, promoted to Full Professor of Computational Intelligence Optimisation. In 2019 Ferrante Neri moved to the School of Computer Science, University of Nottingham, United Kingdom. He is now a Professor of Machine Learning and Artificial Intelligence and Head of the Nature Inspired Computing and Engineering (NICE) Research Group, University of Surrey, United Kingdom. Ferrante Neri’s teaching expertise lies in mathematics for computer science. He has a specific long lasting experience in teaching linear and abstract algebra. His research interests include algorithmics, Memetic Computing, hybrid heuristic-exact optimisation, and Membrane Computing.

Chuan-Kang Ting
National Tsing Hua University, Taiwan
Email: ckting@pme.nthu.edu.tw

Chuan-Kang Ting received the B.S. degree from National Chiao Tung University, Hsinchu, Taiwan, in 1994, theM.S. degree from National Tsing Hua University, Hsinchu, in 1996, and the Dr. rer. nat. degree in computer science from Paderborn University, Paderborn, Germany, in 2005. He is currently a Professor and the Chair of Department of Power Mechanical Engineering, National Tsing Hua University. His research interests include evolutionary computation, computational intelligence, machine learning, and their applications in machinery, manufacturing, ethics, music and arts. Dr. Ting is the Editor-in-Chief of IEEE Computational Intelligence Magazine and Memetic Computing, an Associate Editor of IEEE RANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, and an Editorial Board Member of Soft Computing. He served as the IEEE Computational Intelligence Society (CIS) Newsletter Editor, the IEEE CIS Webmaster, the Chair of IEEE CIS Chapters Committee, and the Chair of IEEE CIS Creative Intelligence Task Force. He is an Executive Board Member of Taiwanese Association for Artificial Intelligence.

Maoguo Gong
Xidian University, China
Email: gong@ieee.org

Maoguo Gong received the B.S. and Ph.D. degrees in electronic science and technology from Xidian University, Xian, China, in 2003 and 2009, respectively. Since 2006, he has been a Teacher with Xidian University. In 2008 and 2010, he was promoted as an Associate Professor and a Full Professor, respectively, both with exceptive admission. His current research interests include computational intelligence with applications to optimization, learning, data mining, and image understanding. Dr. Gong was a recipient of the Prestigious National Program for the support of Top-Notch Young Professionals from the Central Organization Department of China, the Excellent Young Scientist Foundation from the National Natural Science Foundation of China, and the New Century Excellent Talent in University from the Ministry of Education of China. He is the Vice Chair of the IEEE Computational Intelligence Society Task Force on Memetic Computing, an Executive Committee Member of the Chinese Association for Artificial Intelligence, and a Senior Member of the Chinese Computer Federation. He is also an Associate Editor of the IEEE Transactions on Evolutionary Computation.

Yaqing Hou
Dalian University of Technology, China
Email: houyq@dlut.edu.cn

Yaqing Hou (Member, IEEE) received the Ph.D. degree in artificial intelligence from Interdisciplinary Graduate School, Nanyang Technological University, Singapore, in 2017. He was a Postdoctoral Research Fellow with Data Science and Artificial Intelligence Research Centre, Nanyang Technological University. He is currently an Associate Professor with the College of Computer Science and Technology, Dalian University of Technology, Dalian, China. His research interests include computational and artificial intelligence, multi-agent learning systems, transfer learning, and optimization. He is now an Associate Editor for the Memetic Computing.


Program Committee

Yew-Soon Ong, Nanyang Technological University, Singapore
Tang Ke, Southern University of Science and Technology, China
Donald C. Wunsch, University of Missouri Rolla, USA
Ying-ping Chen, National Chiao Tung University, Taiwan
Meng-Hiot Lim, Nanyang Technological University, Singapore
Licheng Jiao, Xidian University, China
Natalio Krasnogor, Newcastle University, UK
Steven Gustafson, GE Global Research, USA
Kay Chen Tan, City University of Hong Kong, Hongkong
Yaochu Jin, University of Surrey, UK
Chuan-Kang Ting, National Chung Cheng University, Taiwan
Jim Smith, The University of the West of England, UK
Ruhul Sarker, The University of New South Wales, Australia
Shaheen Fatima, Loughborough University, UK
Chi Keong Goh, Advanced Technology Centre, Rolls-Royce Singapore Pte. Ltd, Singapore
Swagatam Das, Indian Statistical Institute, India
Gary Lee Kee Khoon, Institute of High Performance Computing, A-Star, Singapore
Yanqing Zhang, Georgia State University, USA
Pablo Moscato, The University of Newcastle, Australia
Carlos Cotta, Universidad de Málaga, Spain
Anna Kononova, Heriot-Watt University, UK
Ernesto Mininno, Technical University of Bari, Italy
Bo Liu, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
Liang Feng, Chongqing University, China

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