Evolutionary Antenna Optimization
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: closed (15 September 2022) | Viewed by 37904
Special Issue Editors
Interests: partial discharges; condition monitoring; sensors; antennas; propagation; AI-based detection techniques; fault diagnosis
Special Issues, Collections and Topics in MDPI journals
Interests: microwave dividers; microwave splitters; antenna array optimisation; metamaterial antennas; metasurface antennas
Special Issues, Collections and Topics in MDPI journals
Interests: energy-efficient front-end design; radio frequency; energy harvesting; communications systems; 5G communications; sensor design; localisation-based services; signal processing; optimisation process; MIMO system design; health hazards; propagations, antennas and electromagnetic computational techniques
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Evolutionary optimization methods have been used with success in many scientific fields, including computational electromagnetics. These methods mimic the behavior of a population in nature, e.g., the movement of individuals in a bird flock or a fish school (particle swarm optimization) or the behavior of weeds expanding into fertile ground to become a dominant culture (invasive weed optimization). The use of evolutionary optimization for antenna design has attracted increasing attention in the last decade and counts many success stories. On the other hand, some challenges are also present, such as the long optimization time due to the computational cost of 3D electromagnetic simulations.
This paper call aims to build a bridge between evolutionary algorithms and design procedures of complex electromagnetic structures. In particular, it aims to review the state-of-the-art of evolutionary optimization-based antenna design methods, identify and address key challenges, develop bespoke evolutionary optimization methods for antenna design, as well as promote application to a variety of antennas, e.g., wideband antennas, patch antennas, and antenna arrays, including RF circuit theory and synthesis, and predicting the equivalent circuits of multi-ports network. We also encourage submissions geared towards the use of hybrid optimizations methods.
This Special Issue invites original papers that contribute to the use of evolutionary optimization processes in computational electromagnetics in general and antenna design in particular. Submission can focus on the conceptual and applied research in topics including but not limited to:
- Evolutionary algorithms;
- Heuristic optimization methods;
- Hybrid optimization algorithms;
- Antenna design;
- Antenna array design;
- Antenna optimization tools;
- Virtual beam steering;
- Real time process of phased antenna arrays;
- Equivalent circuit theory;
- Parallel and GPU processing;
- Antenna applications.
Papers should be of high quality and should not have been submitted or published elsewhere. However, extended versions of conference papers that show significant improvement can be considered for review.
Prof. Dr. Pavlos Lazaridis
Dr. Zaharias Zaharis
Prof. Dr. Raed Abd-Alhameed
Dr. Bo Liu
Guest Editors
Manuscript Submission Information
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Keywords
- Evolutionary algorithms
- Heuristic optimization methods
- Hybrid optimization algorithms
- Antenna design
- Antenna array design
- Antenna optimization tools
- Virtual beam steering
- Real time process of phased antenna arrays
- Equivalent circuit theory
- Parallel and GPU processing
- Antenna applications
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