2019 CEC Special Session on “Memetic Computing”

2019 CEC Special Session on “Memetic Computing”

IEEE Congress on Evolutionary Computation 2019



Important Dates
Submission Deadline: January 7, 2019
Notification of Acceptance: March 7, 2019

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 2019 should be submitted electronically through the Congress website at
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://cec2019.org/
All accepted papers will be published in the IEEE CEC 2019 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 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.

Yuan Yuan is a Postdoctoral Fellow in the Department of Computer Science and Engineering, Michigan State University, USA. He received the PhD degree with the Department of Computer Science and Technology, Tsinghua University, China, in July 2015. From January 2014 to January 2015 he was a visiting PhD student with the Centre of Excellence for Research in Computational Intelligence and Applications, University of Birmingham, UK. He worked as a Research Fellow at the School of Computer Science and Engineering, Nangyang Technological University, Singapore, from October 2015 to November 2016. His current research interests include multi-objective optimization, genetic improvement, and evolutionary multitasking. Two of his conference papers were nominated for the best paper at the GECCO 2014 and GECCO 2015, respectively.

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