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CEC Special Session on Memetic Computing |
The Special Session on Memetic Computing (MC) is organized by IEEE CIS Emergent Technologies Task Force on 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. 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 is to provide a forum for researchers to exchange the latest advances in theories, technologies, and practice of MC. Scope and TopicsThe scope of this special session covers, but is not limited to:
Submission GuidelineAll papers should be submitted electronically through: https://2023.ieee-cec.org/paper-submission/Please specify that your paper is for the Special Session on Memetic Computing. You can find detailed instructions on how to submit your paper https://cmt3.research.microsoft.com/docs/help/author/author-submission-form.html All accepted papers will be published in the CEC 2023 electronic proceedings, included in the IEEE Xplore digital library, and indexed by EI Compendex. Important Dates
OrganizerZexuan Zhu Zexuan ZHU is a Professor with the College of Computer Science and Software Engineering, Shenzhen University, China. He received his B.Sc degree from the Department of Computer Science and Engineering, Fudan University, China, in 2003 and the Ph.D degree from the School of Computer Science and Engineering, Nanyang Technological University, Singapore, in 2008. His research interests include computational intelligence, machine learning, and bioinformatics. He 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 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 in Computational Intelligence in 2010.He was appointed Senior Assistant at the Department of Mathematical Information Technology at the Universityof Jyväskylä, Finland in 2007, and in 2009as a Research Fellow with Academy of Finland. 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. In 2019 Ferrante Neri moved to the School of Computer Science, University of Nottingham, United Kingdom. He is now a Professor of Machine Learning and Artificial Intelligence and Head of the Nature Inspired Computing and Engineering (NICE) Research Group, University of Surrey, United Kingdom. Ferrante Neri’s teaching expertise lies in mathematics for computer science. He has a specific long lasting experience in teaching linear and abstract algebra. His research interests include algorithmics, Memetic Computing, hybrid heuristic-exact optimisation, and Membrane Computing. Chuan-Kang Ting Chuan-Kang Ting received the B.S. degree from National Chiao Tung University, Hsinchu, Taiwan, in 1994, theM.S. degree from National Tsing Hua University, Hsinchu, in 1996, and the Dr. rer. nat. degree in computer science from Paderborn University, Paderborn, Germany, in 2005. He is currently a Professor and the Chair of Department of Power Mechanical Engineering, National Tsing Hua University. His research interests include evolutionary computation, computational intelligence, machine learning, and their applications in machinery, manufacturing, ethics, music and arts. Dr. Ting is the Editor-in-Chief of IEEE Computational Intelligence Magazine and Memetic Computing, an Associate Editor of IEEE RANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, and an Editorial Board Member of Soft Computing. He served as the IEEE Computational Intelligence Society (CIS) Newsletter Editor, the IEEE CIS Webmaster, the Chair of IEEE CIS Chapters Committee, and the Chair of IEEE CIS Creative Intelligence Task Force. He is an Executive Board Member of Taiwanese Association for Artificial Intelligence. Maoguo Gong Maoguo Gong received the B.S. and Ph.D. degrees in electronic science and technology from Xidian University, Xian, 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 a Full Professor, respectively, both with exceptive admission. His current research interests include computational intelligence with applications to optimization, learning, data mining, and image understanding. Dr. Gong was a recipient of 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. He is the Vice Chair of the IEEE Computational Intelligence Society Task Force on Memetic Computing, an Executive Committee Member of the Chinese Association for Artificial Intelligence, and a Senior Member of the Chinese Computer Federation. He is also an Associate Editor of the IEEE Transactions on Evolutionary Computation. Yaqing Hou Yaqing Hou (Member, IEEE) received the Ph.D. degree in artificial intelligence from Interdisciplinary Graduate School, Nanyang Technological University, Singapore, in 2017. He was a Postdoctoral Research Fellow with Data Science and Artificial Intelligence Research Centre, Nanyang Technological University. He is currently an Associate Professor with the College of Computer Science and Technology, Dalian University of Technology, Dalian, China. His research interests include computational and artificial intelligence, multi-agent learning systems, transfer learning, and optimization. He is now an Associate Editor for the Memetic Computing.
Program CommitteeYew-Soon Ong, Nanyang Technological University, Singapore |
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