Special Session on Memetic Computing

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. 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

Important dates

     Submission deadline: TBA, 2022

     Notification of acceptance: TBA, 2022

     Final paper submission: TBA, 2022  

Special Session Organisers

Ferrante Neri

University of Nottingham, UK


Zexuan Zhu

Shenzhen University, China

Email: zhuzx@szu.edu.cn

Chuan-Kang Ting

National Tsing Hua University, Taiwan

Email: ckting@pme.nthu.edu.tw

Maoguo Gong

Xidian University, China

Email: mggong@mail.xidian.edu.cn

Special Session on Memetic Computing

The authors of selected papers presented at the Special Session will be invited to submit an extended version of their work to a Thematic Issue of Memetic Computing, Springer