Theoretical aspects and fundamentals
- mathematical theory and formulation of inverse and optimization problems
- regularization techniques
- model order reduction
- identification problems
- sensitivity analysis
- new approaches
- reconstruction techniques
- deterministic, stochastic and hybrid techniques
- multi-objective and multi-level optimization
- heuristic approaches
- design of experiments
- constraint handling
- robust optimization under uncertainty
- objective functions and direct problems
- numerical linear algebra techniques
- numerical problems
- new techniques
- optimal design in electrical and electronic engineering
- optimization in information and communication systems
- optimal design of electrical machines
- non destructive evaluation
- industrial and biomedical tomography
- optimization in measurement systems
- optimization and inverse problems in biomedical engineering
- control systems
- large scale systems
- mechatronics
- nano- en microsystems
- benchmark problems
- network problems
- coupled problems
- other applications
- parallel and distributed computing, GPU
- soft computing and artificial intelligence
- new methodologies