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Authors are invited to submit their original and unpublished work in the areas including, but not limited to: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,
Memetic computing for expensive and complex real-world .
Papers for IEEE WCCI 2016 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.wcci2016.org/submission.php
All accepted papers will be published in the WCCI 2016 electronic proceedings, included in the IEEE Xplore digital library, and indexed by EI Compendex.
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.
De Montfort University, UK.
Ferrante Neri received the Masters and Ph.D. degrees in electrical engineering from the Technical University of Bari, Bari, Italy, in 2002 and 2007, respectively, and the Ph.D. degree in computer science from the University of Jyväskylä, Jyväskylä, Finland, in 2007. Currently, he is a professor of computational intelligence optimisation at De Montfort University, UK. His research interests include computational intelligence optimization and more specifically memetic computing, differential evolution, noisy and large scale optimization, and compact and parallel algorithms.
Nanyang Technological University, Singapore
Yew-Soon Ong received a PhD degree on Artificial Intelligence in complex design from the Computational Engineering and Design Center, University of Southampton, UK in 2003. His current research interest in computational intelligence spans across memetic computing, evolutionary design, machine learning and Big data. He is the founding Technical Editor-in-Chief of Memetic Computing Journal, founding Chief Editor of the Springer book series on studies in adaptation, learning, and optimization,
Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Transactions on Neural Networks & Learning Systems, IEEE Computational Intelligence Magazine, IEEE Transactions on Cybernetics, Soft Computing, International Journal of System Sciences and others.
Ke Tang, University of Science and Technology of China, email@example.com
Ying-ping Chen, National Chiao Tung University, Taiwan, firstname.lastname@example.org
Kay Chen Tan, National University of Singapore, email@example.com
Hussein Abbas, University of New South Wales, Australia, firstname.lastname@example.org
Yaochu Jin, University of Surrey, UK, email@example.com
Hisao Ishibuchi, Osaka Prefecture University, Japan, firstname.lastname@example.org
Chuan-Kang Ting, National Chung Cheng University, Taiwan, email@example.com
Zexuan Zhu, Shenzhen University, China. firstname.lastname@example.org
Maoguo Gong, Xidian University, China. email@example.com
Wenyin Gong, China University of Geosciences, Wuhan, China, firstname.lastname@example.org
Chaoli Sun, University of Surrey, UK, email@example.com
Jing Liang, Zhengzhou University, China, firstname.lastname@example.org
Bo Liu, Chinese Academy of Sciences, China, email@example.com
Guosheng Hao, Jiangsu Normal University, China, firstname.lastname@example.org
Giovanni Iacca, INCAS3, The Netherlands, giovanniIacca@incas3.eu
Fabio Caraffini, De Montfort University, UK, email@example.com
Anna Kononova, Heriot-Watt University, UK, firstname.lastname@example.org
Mengjie Zhang, Victoria University of Wellington, New Zealand, Mengjie.Zhang@ecs.vuw.ac.nz
Abhishek Gupta, Nanyang Technological University, Singapore, email@example.com