Download Call for Papers (PDF)

Submission Deadline: 1 October 2020

Aims & Scope: Computational Intelligence (CI) tools and methods, among others, include evolutionary algorithms (EAs), machine learning (ML), Artificial Immune Systems, and fuzzy inference system (FIS). The use of CI has an increasing impact to solving complex problems in antennas and propagation (AP). These CI techniques like Nature-Inspired algorithms, Decision Trees, Random Forests, Support Vector Machines, Extreme Learning Machines, Gaussian Processes, Artificial Neural Networks (ANNs), and Deep Learning Networks (DNNs) are gaining popularity in AP community. Additionally, hybrid combinations of CI and problem specific methods are also emerging.

We invite researchers to contribute original papers describing applications and experiences on the emerging trends of CI methods for solving and modeling problems in antennas and propagation. The purpose of this special section is to publish high-quality research papers as well as review articles addressing recent advances on CI in antennas and propagation.

Potential topics include but are not limited to the following:

• Evolutionary algorithms (EAs) for antenna design
• Machine learning techniques for propagation modeling
• Machine learning techniques for antenna design
• Machine learning techniques for other EM problems
• Fuzzy inference system (FIS) for AP problems
• CI for biomedical applications and wireless monitoring
• Surrogate models for AP problems
• Parallel computing techniques for AP problems
• Hybrid techniques for AP problems
• Other innovative CI techniques for AP problems

Keywords:

1. Evolutionary algorithms
2. Machine learning
3. Fuzzy inference system
4. Deep Learning
5. Hybrid techniques
6. Surrogate modeling

Lead Guest Editor
Prof. Sotirios K. Goudos
Aristotle University of Thessaloniki, Greece
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Guest Editors

Prof. Dimitris E. Anagnostou
Heriot Watt University, UK
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Dr. Zikri Bayraktar
Schlumberger-Doll Research Center, USA
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Prof. Sawyer D. Campbell
The Pennsylvania State University, USA
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Prof. Paolo Rocca
University of Trento, Italy
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Prof. Douglas H. Werner
The Pennsylvania State University, USA
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