Numerical Optimization for Electromagnetic Problems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 4787
Special Issue Editors
Interests: numerical solution of partial differential equations; modeling and numerical simulation of coupled field problems (electromagnetics; magneto-mechanics; piezoelectrics; aeroacoustics; vibro-acoustics); material models and parameter identification (combined experimental and numerical techniques); meta-materials
Interests: topology optimization; topological derivatives; shape optimization; optimization of electrical machines
Special Issue Information
Dear Colleagues,
We cordially invite you to submit your articles to the Special Issue of Mathematics entitled “Numerical Optimization for Electromagnetic Problems”. The title of the Special Issue not only reflects the topicality of the Special Issue itself but is also associated with the 17th International Workshop on Optimization and Inverse Problems in Electromagnetism 2023 that will take place in Graz, Austria from the 17–20 September 2023. Our aim is to discuss and share recent developments in optimization and inverse methodologies and their applications to the design and working principle of electromagnetic devices. A special focus will be put on topology optimization and optimal energy management.
We would like to invite authors to submit an extended version of their conference papers for this Special Issue. However, we want to mention that this Special Issue is also open to submissions from authors who are interested in the topic but did not attend the workshop.
Topics of interest include but are not limited to:
- Theoretical aspects and fundamentals
- Mathematical theory and formulation of inverse and optimization problems;
- Neural meta-modelling;
- Regularization techniques;
- (Model) order reduction;
- Identification problems;
- Sensitivity analysis.
- Algorithms
- Machine learning techniques for optimization and inverse problems;
- Reconstruction techniques;
- Deterministic, stochastic and hybrid techniques;
- Multi-objective and multi-level optimization;
- Heuristic approaches;
- Design of experiments;
- Constraints;
- Robust optimization under uncertainty;
- Objective functions and direct problems;
- Numerical efficiency;
- Numerical problems.
- Applications
- Optimal energy management;
- Biomedical engineering;
- Control systems;
- Coupled problems;
- Electrical machines;
- Industrial and biomedical tomography;
- Information and communication systems;
- Large-scale systems;
- Mechatronics;
- Micro- and nanosystems;
- Non-destructive evaluation;
- Design optimization;
- Sensors and actuators;
- Smart applications;
- Transportation and mobility;
- High frequency and antenna design.
Prof. Dr. Manfred Kaltenbacher
Dr. Peter Gangl
Dr. Alice Reinbacher-Köstinger
Guest Editors
Manuscript Submission Information
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Keywords
- mathematical method
- numerical techniques
- Maxwell's equation
- inverse problems
- optimization methods
- regularization techniques
- (model) order reduction
- identification problems
- machine learning
- multiscale modeling
- electromagnetic problems
- magnetohydrodynamics
- various applications
- electromagnetic scattering
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