Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 239-247 |
| Seitenumfang | 9 |
| Fachzeitschrift | COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering |
| Jahrgang | 39 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 19 Dez. 2019 |
Abstract
Purpose: This paper aims to investigate different multi-objective optimization (MOO) approaches for design and control of electromagnetic devices. The main goal of MOO is to find the set of design variables or control parameters which will provide the best possible values of typical conflicting objective functions. Design/methodology/approach: In the research studies, standard genetic algorithm (GA), non-dominated sorting GA (NSGA-II), migration NSGA algorithm and alternance method of optimal control theory are discussed and compared. Findings: The test practical problems of multi-criteria optimization of induction heating processes with respect to chosen quality criteria confirm the effectiveness of application of considered MOO approaches both for the problems of design and control. Originality/value: This paper represents and investigates different MOO approaches for design and control of electrotechnological systems.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Mathematik (insg.)
- Angewandte Mathematik
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in: COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Jahrgang 39, Nr. 1, 19.12.2019, S. 239-247.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Design and control of electrotechnological systems
T2 - A multi-objective optimization approach
AU - Pleshivtseva, Yuliya
AU - Rapoport, Edgar
AU - Nacke, Bernard
AU - Nikanorov, Alexander
AU - Di Barba, Paolo
AU - Forzan, Michele
AU - Sieni, Elisabetta
AU - Lupi, Sergio
N1 - Funding Information: This work is partly supported by Russian Foundation for Basic Researches (Projects No 19-08-00232 and No 18-08-00048).
PY - 2019/12/19
Y1 - 2019/12/19
N2 - Purpose: This paper aims to investigate different multi-objective optimization (MOO) approaches for design and control of electromagnetic devices. The main goal of MOO is to find the set of design variables or control parameters which will provide the best possible values of typical conflicting objective functions. Design/methodology/approach: In the research studies, standard genetic algorithm (GA), non-dominated sorting GA (NSGA-II), migration NSGA algorithm and alternance method of optimal control theory are discussed and compared. Findings: The test practical problems of multi-criteria optimization of induction heating processes with respect to chosen quality criteria confirm the effectiveness of application of considered MOO approaches both for the problems of design and control. Originality/value: This paper represents and investigates different MOO approaches for design and control of electrotechnological systems.
AB - Purpose: This paper aims to investigate different multi-objective optimization (MOO) approaches for design and control of electromagnetic devices. The main goal of MOO is to find the set of design variables or control parameters which will provide the best possible values of typical conflicting objective functions. Design/methodology/approach: In the research studies, standard genetic algorithm (GA), non-dominated sorting GA (NSGA-II), migration NSGA algorithm and alternance method of optimal control theory are discussed and compared. Findings: The test practical problems of multi-criteria optimization of induction heating processes with respect to chosen quality criteria confirm the effectiveness of application of considered MOO approaches both for the problems of design and control. Originality/value: This paper represents and investigates different MOO approaches for design and control of electrotechnological systems.
KW - Induction heating
KW - Multi-objective optimization
KW - Optimal control
KW - Optimal design
UR - http://www.scopus.com/inward/record.url?scp=85077567913&partnerID=8YFLogxK
U2 - 10.1108/COMPEL-11-2019-0454
DO - 10.1108/COMPEL-11-2019-0454
M3 - Article
AN - SCOPUS:85077567913
VL - 39
SP - 239
EP - 247
JO - COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
JF - COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
SN - 0332-1649
IS - 1
ER -