CEC Special Session on Memetic Computing
2020 IEEE World Congress on Computational Intelligence (WCCI 2020)
July 19–24, Scottish Exhibition Campus, Glasgow, Scotland, UK

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

Important Dates
Submission Deadline:
Jan. 15, 2020
Notification of Acceptance:
Mar. 15, 2020
Final Paper Submission:
Apr. 15, 2020

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. More recently, 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 on memetic computing is to provide a forum for researchers in this field to exchange the latest advances in theories, technologies, and practice of memetic computing.

Scope and Topics

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

  • Single/Multi-Objective 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
  • Self-design algorithms in memetic computing.
  • Memetic frameworks using surrogate or approximation methods
  • Memetic automaton, cognitive and brain inspired agent based memetic computing
  • Data mining and knowledge learning in memetic computation paradigm
  • Memetic computing for expensive and complex real-world problems
  • Evolutionary multi-tasking

Paper Submission:

All papers should be submitted electronically through:
To submit your papers to the MC special session, please select the Special Session name in the Main Research topic.

For more submission information please visit: https://wcci2020.org/submissions/
All accepted papers will be published in the WCCI 2012 electronic proceedings, included in the IEEE Xplore digital library, and indexed by  EI Compendex.


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

Zexuan Zhu received the B.S. degree in computer science and technology from Fudan University, China, in 2003 and the Ph.D. degree in computer engineering from Nanyang Technological University, Singapore, in 2008. He is currently a Professor with the College of Computer Science and Software Engineering, Shenzhen University, China. His research interests include computational intelligence, machine learning, and bioinformatics. Dr. Zhu 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 Nottingham, UK
Email: ferrante.neri@nottingham.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 (Habilitation) in Computational Intelligence in 2010.  He was Research Fellow with Academy of Finland in the period 2009-2014. 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. Since 2019 Ferrante Neri moved to the School of Computer Science, University of Nottingham, United Kingdom where he was appointed Associate Professor. Ferrante Neri’s teaching expertise lies in mathematics for computer science,  especially linear and abstract algebra. He is HEA Senior Fellow and author of the recently published book “Linear Algebra for Computational Sciences and Engineering”. His research interests include algorithmics, hybrid heuristic-exact optimisation, scalability in optimisation and large scale problems. Dr Neri published over 150 publications in these topics. Dr Neri is an IEEE Senior Member and is Associate Editor and member of the Editorial Board of numerous journals including Information Sciences, Integrated Computer-Aided Engineering, and Memetic Computing. He organised over twenty symposia, special sessions, and workshops in International Conferences. Dr Neri is on the panel of funding bodies in seven countries. He has been in the Programme Committee of over 100 conferences.

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, Taiwan, the M.S. degree from National Tsing Hua University, Taiwan, and the Dr. rer. nat. degree from the University of Paderborn, Germany. He is a Professor at Department of Power Mechanical Engineering, National Tsing Hua University, Taiwan. His research interests are in evolutionary computation, computational intelligence, data mining, machine learning, and their applications in music, art, networks, and bioinformatics. Dr. Ting is currently serving as an associate editor or editorial board member for five international journals, including IEEE Computational Intelligence Magazine, IEEE Transactions on Emerging Topics in Computational Intelligence, Soft Computing, and Memetic Computing. He serves as the IEEE CIS Newsletter editor, vice chair of Intelligent Systems Applications Technical Committee, chair of Creative Intelligence Task Force, and vice chair of Intelligent Network Systems Task Force, all in IEEE Computational Intelligence Society (CIS). He is also an executive board member of Taiwanese Association for Artificial Intelligence (TAAI). He has been involved in organization of many international conferences, symposiums, workshops, and special sessions. He serves the special session chair of IEEE WCCI 2016, WCCI 2018, and CEC 2019. He was the chair of IEEE Symposium on Computational Intelligence for Creativity and Affective Computing 2013, program chair of TAAI 2012 and 2015, and organizing chair of AI Forum 2012.

Maoguo Gong
Xidian University, China
Email: mggong@mail.xidian.edu.cn

Maoguo Gong received the B.S. degree in electronic engineering (First Class Hons.) and the Ph.D. degree in electronic science and technology from Xidian University, Xi’an, 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 as a Full Professor, respectively, both with exceptive admission. He received 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. His current research interests include computational intelligence with applications to optimization, learning, data mining, and image understanding. Dr. Gong is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Neural Networks and Learning Systems.


Program Committee

Yew-Soon Ong, Nanyang Technological University, Singapore
Tang Ke, University of Science and Technology of China, 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
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
Yaqing Hou, Dalian University of Technology,China

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