2018 WCCI Special Session on “Memetic Computing”

2018 WCCI Special Session on “Memetic Computing”

IEEE World Congress on Computational Intelligence 2018

July 8-13, Rio de Janeiro, Brazil


Important Dates
Submission Deadline: February 1, 2018
Notification of Acceptance: March 15, 2018

Memetic Computing (MC) represents a broad generic framework using the notion of meme(s) as units of information encoded in computational representations for the purpose of problem-solving. In the literature, 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

Papers for IEEE CEC 2018 should be submitted electronically through the Congress website at http://www.ecomp.poli.br/~wcci2018/, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. To submit your papers to the special session, please select the Special Session name in the Main Research topic.

For more submission information please visit: http://www.ecomp.poli.br/~wcci2018/
All accepted papers will be published in the IEEE CEC 2018 electronic proceedings, included in the IEEE Xplore digital library, and indexed by EI Compendex. High quality papers will be invited to extend and submit to the Memetic Computing Journal.


Liang Feng received the PhD degree from the School of Computer Engineering, Nanyang Technological University, Singapore, in 2014. He was a Postdoctoral Research Fellow at the Computational Intelligence Graduate Lab, Nanyang Technological University, Singapore. He is currently an Assistant Professor at the College of Computer Science, Chongqing University, China. His research interests include Computational and Artificial Intelligence, Memetic Computing, Big Data Optimization and Learning, as well as Transfer Learning.

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 an Associate Professor at Department of Computer Science and Information Engineering, National Chung Cheng 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 received the B. Eng degree and Ph.D. degree from Xidian University. Since 2006, he has been a teacher of Xidian University. He was promoted to associate professor and full professor in 2008 and 2010, respectively, both with exceptive admission.
Gong’s research interests are broadly in the area of computational intelligence, with applications to optimization, learning, data mining and image understanding. He has published over one hundred papers in journals and conferences, and holds over twenty granted patents as the first inventor. He is leading or has completed over ten projects as the PI, funded by the National Natural Science Foundation of China, the National High Technology Research and Development Program (863 Program) of China and others. He was the recipient of the prestigious National Program for Support of Top-notch Young Professionals (selected by the Central Organization Department of China), the Excellent Young Scientist Foundation (selected by the National Natural Science Foundation of China), the New Century Excellent Talent in University (selected by the Ministry of Education of China), the Young Teacher Award by the Fok Ying Tung Education Foundation, and the National Natural Science Award of China.
He is the Executive Committee Member of Chinese Association for Artificial Intelligence, Senior Member of IEEE and Chinese Computer Federation, Associate Editor or Editorial Board Member for over five journals including IEEE Transactions on Evolutionary Computation and Memetic Computing.

Meng-Hiot Lim received the M.Sc. degree in financial engineering from Nanyang Business School, Singapore, and the Ph.D. degree in electrical and computer engineering from the University of South Carolina, Columbia, SC, USA, in 1989. He was one of the Founding Directors of the Centre for Financial Engineering and was a Deputy Director with Nanyang Business School for several years. He is currently an Associate Professor with the School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore. His research interests include memetic computation, financial engineering, and the applications of computational intelligence in financial problems.
He is the President of the Memetic Computing Society, the Uavionics Society, and the Managing Editor-in-Chief of Memetic Computing Journal. He is also a Co-Editor-in-Chief of the Springer book series Studies in Adaptation, Learning, and Optimization (ALO).

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