Evolutionary Optimization Algorithms for Electromagnetic Devices
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 24540
Interests: evolutionary computation techniques; neural networks; optimization of EM devices; reflectarray antennas; electrical microgrid
Special Issues, Collections and Topics in MDPI journals
Evolutionary Optimization Algorithms (EAs) are a family of biologically inspired population-based algorithms for global optimization. They are important tools for providing an effective and efficient solution to many real-word engineering problems due to their flexibility and capability to solve multimodal problems.
This Special Issue is focused on the solution of design and operation optimization problems of electromagnetic devices. Potential optimization topics include but are not limited to the following:
- Innovative applications of EAs;
- Tailored EAs;
- A surrogate model for reducing the optimization time;
- New electromagnetic benchmarks;
- A comparison between EAs;
- Real-time optimisation;
- Hardware-in-the-loop or software-in-the-loop optimization;
- Memory-saving and compact optimisation.
Possible applications include but are not limited to the following:
- Active antennas;
- Impulse antennas;
- Reflectarray and transmitarray antennas;
- Linear and tubular motors;
- Electric motors;
- Wireless power transfer.
Dr. Alessandro Niccolai
Prof. Dr. Riccardo Zich
Manuscript Submission Information
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- Evolutionary optimization
- Antenna optimization
- Electromagnetic optimization
- Wireless power transfer
- Electric motor optimization