2017 CEC Special Session on “Memetic Computing”

2017 CEC Special Session on “Memetic Computing”

IEEE Congress on Evolutionary Computation 2017

June 5–8, Donostia – San Sebastián, Spain


The Competition: “Multifactorial Optimization: Evolutionary Single and Multi-Objective Multi-Tasking” will be held at CEC 2017

Benchmarks and source codes are available at: http://www.cil.ntu.edu.sg/mfo/download.html

All participants of the competition on Multifactorial Optimization: Evolutionary Single and Multi-Objective Multitasking are invited to submit their unpublished paper(s) describing their work to the special session on Memetic Computing.

Important Dates
Submission Deadline:January 30, 2017
Notification of Acceptance:February 26, 2017

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 application.

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.


Authors are invited to submit their original and unpublished work in the areas including, but not limited to: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,
  • Evolutionary Multi-Tasking,
  • Memetic computing for expensive and complex real-world .

Paper Submission:

Papers for IEEE CEC 2017 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://www.cec2017.org

All accepted papers will be published in the IEEE CEC 2017 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
  • Chongqing University, China.
  • E-mail: liangf [@] cqu.edu.cn

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.

  • Yifeng Zeng
  • Teesside University, UK.
  • E-Mail: Y.Zeng[@]tees.ac.uk;

Yifeng Zeng is a Reader at School of Computing in Teesside University, United Kingdom. He received his PhD in 2006 from National University of Singapore. Before he moved to Teesside University, Dr. Zeng was an assistant professor and an associate professor during 2006 – 2012 in Aalborg University, Denmark. His current research interests include intelligent agents, computational intelligence, big data, and computer games. Most of his publications appear in the most prestigious international academic journals and conferences including JAIR, JAAMAS, AAMAS, IJCAI and AAAI. He successfully organized the International Workshop on Agents and Data Mining Interaction (ADMI 2012 – 2016) in conjunction with AAMAS.

  • Zexuan Zhu
  • Shenzhen University, China
  • E-Mail: : zhuzx[@]szu.edu.cn

Zexuan Zhu received the BS degree in computer science and technology from Fudan University, China, in 2003, and the PhD 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 current research interests include evolutionary computation, machine learning, and bioinformatics. He is a Vice Chair of IEEE Emergent Technologies Task Force on Memetic Computing.

Program Committee

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