Bio-inspired computing is a field of study that abstracts computing ideas (data structures, operations with data, ways to control operations, computing models, artificial intelligence, multisource data driven and analysis, etc.) from the living phenomena or biological systems such as cells, tissue, the brain, neural network, immune system, ant colony, and evolution. Developing new and state-of-the-art computing solutions to address complex problems in science and engineering is one of the major challenges faced by researchers in a variety of fields. To construct the optimal IT solutions, many data domains are nonlinear and regulated by multiple constraints, such as time requirements, and high dimensionality. Bio-inspired computing has been a promising multi-disciplinary approach to solve complex industry data analysis problems, and we foresee increasing development and more successful applications.
The aim of this special section is to demonstrate the power and impact of bio-inspired computing in real world by inviteing researchers from relevant fields to present their novel theories, methodologies, and applications of bio-inspired computing.
This special issue welcome submissions of the emerging bio-inspired theoretical and application advancement / progressing on following topics:
– Neural Networks
– Brain-inspired Computing
– Neuromorphic Computing and Architectures
– Evolutionary Computing
– Molecular and Genetic algorithm
– Membrane Computing
– Cellular Automata and Cellular Neural Networks
– Ant Colonies Algorithm
– Swarm Intelligence
– Artificial Immune System and its Application in Security
– Epidemiology and Communication Protocols
– Sensory Organs and Sensor Networks
– Cognitive Learning and Pattern Recognition
– Artificial Intelligence
New papers, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are substantially extended (more than 50%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE, and accepted based on quality, originality, novelty, and relevance to the theme of the special section. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special issue.
Before submission, authors should carefully read the Guide for Authors available at
Authors should submit their papers through the journal’s web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by selecting “VSI-bioc” under the “Issues” tab.
For additional questions, contact the Main Guest Editor.
Submission of manuscript: October 26, 2020
First notification: December 01, 2020
Submission of revised manuscript: December 30, 20200
Notification of the re-review: January 30, 2021
Final notification: February 10, 2021
Final paper due: February 28, 2021
Publication: June 2021
Prof. Dr Xiaochun Cheng, Middlesex University, UK, firstname.lastname@example.org
Prof. Shudong Wang, China University of Petroleum, China, email@example.com
Prof. Linqiang Pan, Huazhong University of Science & Technology, China firstname.lastname@example.org
Pof. Mario de J. Pérez Jiménez (Member of Academia Europaea), University of Seville, Spain, email@example.com
Xiaochun Cheng received the B. Eng. degree in computer software and the Ph.D. degree in artiﬁcial intelligence from Jilin University, China, in1992 and1996, respectively. He is a member of the IEEE SMC: Technical Committee on Systems Safety and Security. He is also a Committee Member of the European Systems Safety Society. He is the Secretary of the IEEE SMC, United Kingdom and Republic of Ireland.
Linqiang Pan is with the Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China, and also with the School of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Mario de J. Pérez Jiménez is with the Research Group of Natural Computing, Department of Computer Science and Artiﬁcial Intelligence, University of Seville, 41012 Sevilla, Spain.