Design and control of electrotechnological systems
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 objec...
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| Veröffentlicht in: | Compel 2020-03, Vol.39 (1), p.239-247 |
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| container_title | Compel |
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| creator | Pleshivtseva, Yuliya Rapoport, Edgar Nacke, Bernard Nikanorov, Alexander Di Barba, Paolo Forzan, Michele Sieni, Elisabetta Lupi, Sergio |
| description | 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. |
| doi_str_mv | 10.1108/COMPEL-11-2019-0454 |
| format | Article |
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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.</description><identifier>ISSN: 0332-1649</identifier><identifier>EISSN: 2054-5606</identifier><identifier>DOI: 10.1108/COMPEL-11-2019-0454</identifier><language>eng</language><publisher>Emerald Publishing Limited</publisher><ispartof>Compel, 2020-03, Vol.39 (1), p.239-247</ispartof><rights>Emerald Publishing Limited</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/COMPEL-11-2019-0454/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,967,11634,27923,27924,52688</link.rule.ids></links><search><creatorcontrib>Pleshivtseva, Yuliya</creatorcontrib><creatorcontrib>Rapoport, Edgar</creatorcontrib><creatorcontrib>Nacke, Bernard</creatorcontrib><creatorcontrib>Nikanorov, Alexander</creatorcontrib><creatorcontrib>Di Barba, Paolo</creatorcontrib><creatorcontrib>Forzan, Michele</creatorcontrib><creatorcontrib>Sieni, Elisabetta</creatorcontrib><creatorcontrib>Lupi, Sergio</creatorcontrib><title>Design and control of electrotechnological systems</title><title>Compel</title><description>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.</description><issn>0332-1649</issn><issn>2054-5606</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqdjr0OwiAYRYnRxPrzBC68APpBobFzrXHQ6OBOCKW1hoKBLn17a-Lo5FnuWW5yENpQ2FIK-11xvdzKM6GUMKA5AS74BCUMBCcig2yKEkhTRmjG8zlaxPiEkVxAgtjBxLZxWLkKa-_64C32NTbW6NF7ox_OW9-0Wlkch9ibLq7QrFY2mvV3l4gdy3txIqYzQdlKvkLbqTBICvJTJ3_UpX-d3o5PQcU</recordid><startdate>20200311</startdate><enddate>20200311</enddate><creator>Pleshivtseva, Yuliya</creator><creator>Rapoport, Edgar</creator><creator>Nacke, Bernard</creator><creator>Nikanorov, Alexander</creator><creator>Di Barba, Paolo</creator><creator>Forzan, Michele</creator><creator>Sieni, Elisabetta</creator><creator>Lupi, Sergio</creator><general>Emerald Publishing Limited</general><scope/></search><sort><creationdate>20200311</creationdate><title>Design and control of electrotechnological systems</title><author>Pleshivtseva, Yuliya ; Rapoport, Edgar ; Nacke, Bernard ; Nikanorov, Alexander ; Di Barba, Paolo ; Forzan, Michele ; Sieni, Elisabetta ; Lupi, Sergio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-emerald_primary_10_1108_COMPEL-11-2019-04543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pleshivtseva, Yuliya</creatorcontrib><creatorcontrib>Rapoport, Edgar</creatorcontrib><creatorcontrib>Nacke, Bernard</creatorcontrib><creatorcontrib>Nikanorov, Alexander</creatorcontrib><creatorcontrib>Di Barba, Paolo</creatorcontrib><creatorcontrib>Forzan, Michele</creatorcontrib><creatorcontrib>Sieni, Elisabetta</creatorcontrib><creatorcontrib>Lupi, Sergio</creatorcontrib><jtitle>Compel</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pleshivtseva, Yuliya</au><au>Rapoport, Edgar</au><au>Nacke, Bernard</au><au>Nikanorov, Alexander</au><au>Di Barba, Paolo</au><au>Forzan, Michele</au><au>Sieni, Elisabetta</au><au>Lupi, Sergio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design and control of electrotechnological systems</atitle><jtitle>Compel</jtitle><date>2020-03-11</date><risdate>2020</risdate><volume>39</volume><issue>1</issue><spage>239</spage><epage>247</epage><pages>239-247</pages><issn>0332-1649</issn><eissn>2054-5606</eissn><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.</abstract><pub>Emerald Publishing Limited</pub><doi>10.1108/COMPEL-11-2019-0454</doi></addata></record> |
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| ispartof | Compel, 2020-03, Vol.39 (1), p.239-247 |
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| source | Emerald Journals |
| title | Design and control of electrotechnological systems |
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