2019 CEC Special Session on:
"Gene Expression Programming and Its Applications"

IEEE Congress on Evolutionary Computation 2019

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

Gene Expression Programming (GEP) is a popular evolutionary algorithm for automatic generation of computer programs. Over the past decades, GEP has undergone rapid advancements and developments. A number of enhanced GEPs have been proposed to date, such as Parallel GEP, Cooperative Co-evolutionary GEP, and Multi-task GEP. The real-world applications of GEP are also multiplying fast, including regression, classification, combinatorial optimization, data mining and knowledge discovery.

The aim of this special session is to provide a forum for researchers in this field to exchange the latest advances in theories, technologies, and practice of Gene Expression Programming.

Scope and Topics

Topics of interest include, but are not limited to, GEP in the following aspects:

  • Gene Expression Programming for Symbolic Regression
  • Gene Expression Programming for Classification
  • Gene Expression Programming for Combinatorial Optimizationn
  • Parallel Gene Expression Programming
  • Gene Expression Programming with Feature Selection
  • Gene Expression Programming with Transfer Learning
  • Multi-objective Gene Expression Programming
  • Semantic-based Gene Expression Programming
  • Cooperative Co-evolutionary Gene Expression Programming
  • Theoretical analysis of Gene Expression Programming
  • Real-world Applications of Gene Expression Programming
  • Multi-task Gene Expression Programming

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:
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.


Jinghui Zhong
South China University of Technology, China
Jinghui Zhong is currently an Associate Professor in the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China. He received his Ph.D. degree from the School of Information Science and Technology, Sun YAT-SEN University, China, in 2012. During 2013 to 2016, He worked as a Postdoctoral Research Fellow at the School of Computer Engineering, Nanyang Technological University, Singapore. His research interests include evolutionary computation such as genetic programming, and the applications of evolutionary computation.

Liang Feng
Chongqing University, China.
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.

Yi Mei
Victoria University of Wellington, New Zealand.
Yi Mei (M'09-SM'18) is a Lecturer at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. His research interests include evolutionary combinatorial optimisation, machine learning and hyper-heuristics. He has more than 70 fully referred publications, including the top journals in EC and Operations Research such as IEEE TEVC, IEEE TCYB, European Journal of Operational Research, ACM Transactions on Mathematical Software. He currently serves as a Vice-Chair of the IEEE CIS Emergent Technologies Technical Committee, and a member of Intelligent Systems Applications Technical Committee. He is an Editorial Board Member of International Journal of Bio-Inspired Computation, and a guest editor of a special issue of the Genetic Programming Evolvable Machine journal. He serves as a reviewer of over 30 international journals.

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