{"id":"https://openalex.org/W2154094984","doi":"https://doi.org/10.1109/sis.2008.4668319","title":"Multi-objective design optimization of Surface Mount Permanent Magnet machine with particle swarm intelligence","display_name":"Multi-objective design optimization of Surface Mount Permanent Magnet machine with particle swarm intelligence","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2154094984","doi":"https://doi.org/10.1109/sis.2008.4668319","mag":"2154094984"},"language":"en","primary_location":{"id":"doi:10.1109/sis.2008.4668319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2008.4668319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Swarm Intelligence Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019255404","display_name":"Yao Duan","orcid":"https://orcid.org/0000-0002-2262-1815"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yao Duan","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105356524","display_name":"Ronald G. Harley","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.G. Harley","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054979012","display_name":"T.G. Habetler","orcid":"https://orcid.org/0000-0001-6598-2429"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.G. Habetler","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019255404"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.9965,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91381371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10278","display_name":"Electric Motor Design and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10278","display_name":"Electric Motor Design and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13965","display_name":"Laser and Thermal Forming Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7969132661819458},{"id":"https://openalex.org/keywords/mount","display_name":"Mount","score":0.7959086894989014},{"id":"https://openalex.org/keywords/magnet","display_name":"Magnet","score":0.7204272747039795},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5698542594909668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5224529504776001},{"id":"https://openalex.org/keywords/surface-mount-technology","display_name":"Surface-mount technology","score":0.5090798735618591},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.29462623596191406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2410440444946289},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14448747038841248},{"id":"https://openalex.org/keywords/printed-circuit-board","display_name":"Printed circuit board","score":0.09070301055908203}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7969132661819458},{"id":"https://openalex.org/C2778091609","wikidata":"https://www.wikidata.org/wiki/Q14713","display_name":"Mount","level":2,"score":0.7959086894989014},{"id":"https://openalex.org/C16389437","wikidata":"https://www.wikidata.org/wiki/Q11421","display_name":"Magnet","level":2,"score":0.7204272747039795},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5698542594909668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5224529504776001},{"id":"https://openalex.org/C2776584680","wikidata":"https://www.wikidata.org/wiki/Q191042","display_name":"Surface-mount technology","level":3,"score":0.5090798735618591},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.29462623596191406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2410440444946289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14448747038841248},{"id":"https://openalex.org/C120793396","wikidata":"https://www.wikidata.org/wiki/Q173350","display_name":"Printed circuit board","level":2,"score":0.09070301055908203},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sis.2008.4668319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sis.2008.4668319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Swarm Intelligence Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966404032","https://openalex.org/W2029145830","https://openalex.org/W2082645724","https://openalex.org/W2096172975","https://openalex.org/W2110466851","https://openalex.org/W2114352850","https://openalex.org/W2116228187","https://openalex.org/W2142375107","https://openalex.org/W2150213605","https://openalex.org/W2152442106","https://openalex.org/W2160314702","https://openalex.org/W2168747298","https://openalex.org/W2334839183","https://openalex.org/W2787523326","https://openalex.org/W4234534407","https://openalex.org/W4252572152","https://openalex.org/W6702644527"],"related_works":["https://openalex.org/W4390763661","https://openalex.org/W2391780702","https://openalex.org/W2356532375","https://openalex.org/W2348949422","https://openalex.org/W4240803905","https://openalex.org/W1535746573","https://openalex.org/W2052588958","https://openalex.org/W2405754725","https://openalex.org/W2745017041","https://openalex.org/W2241084252"],"abstract_inverted_index":{"An":[0],"efficient":[1],"multi-objective":[2],"design":[3,48,53,86],"method":[4],"with":[5,95],"Particle":[6],"Swarm":[7],"Optimization":[8],"(PSO)":[9],"is":[10,36,74],"developed":[11,37],"for":[12],"Surface":[13],"Mount":[14],"Permanent":[15],"Magnet":[16],"machines":[17],"to":[18,62,77,82],"reduce":[19],"the":[20,23,32,52,70,83,92],"complexity":[21],"in":[22,56],"PMSM":[24,33],"machine":[25,85],"design.":[26],"First":[27],"an":[28],"analytical":[29,79],"model":[30,58],"of":[31],"machine\u2019s":[34],"geometry":[35],"and":[38,50,98],"results":[39],"are":[40],"verified":[41],"by":[42],"finite":[43],"element":[44],"analysis.":[45],"With":[46],"proper":[47],"specification":[49],"assumption,":[51],"input":[54],"variables":[55],"this":[57,78,88],"can":[59],"be":[60],"reduced":[61],"as":[63,65],"low":[64],"two,":[66],"which":[67],"significantly":[68],"simplifies":[69],"optimization":[71],"process.":[72],"PSO":[73],"then":[75],"applied":[76],"model.":[80],"Compared":[81],"traditional":[84],"methods,":[87],"proposed":[89],"algorithm":[90],"finds":[91],"optimized":[93],"solution":[94],"fast":[96],"computation":[97],"high":[99],"convergence.":[100]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
