The authors introduce a methodology for fast multi-objective design optimisation of miniaturised microwave couplers. The approach exploits the surrogate-based optimisation paradigm with an underlying low-fidelity model constructed from an equivalent circuit of the structure under consideration, corrected through implicit and frequency space mapping. A fast prediction tool obtained this way is subsequently optimised by a multi-objective evolutionary algorithm to identify an initial approximation of the Pareto front, that is, a set of designs representing the best possible trade-offs between conflicting objectives. The correction/optimisation of the surrogate is then iterated by design space confinement and segmentation based on a Pareto set representation obtained thus far in the process. This aims at improving the surrogate model accuracy in the vicinity of the Pareto-optimal solutions. The technique is demonstrated by two design examples of compact rat-race couplers. Experimental validation is also provided.
Autorzy
- Slawomir Koziel,
- Adrian Bekasiewicz,
- dr inż. Piotr Kurgan link otwiera się w nowej karcie ,
- John W. Bandler
Informacje dodatkowe
- DOI
- Cyfrowy identyfikator dokumentu elektronicznego link otwiera się w nowej karcie 10.1049/iet-map.2015.0279
- Kategoria
- Publikacja w czasopiśmie
- Typ
- artykuł w czasopiśmie wyróżnionym w JCR
- Język
- angielski
- Rok wydania
- 2016