{"id":"https://openalex.org/W3164331722","doi":"https://doi.org/10.3390/e23060678","title":"A Hybrid Rao-NM Algorithm for Image Template Matching","display_name":"A Hybrid Rao-NM Algorithm for Image Template Matching","publication_year":2021,"publication_date":"2021-05-27","ids":{"openalex":"https://openalex.org/W3164331722","doi":"https://doi.org/10.3390/e23060678","mag":"3164331722","pmid":"https://pubmed.ncbi.nlm.nih.gov/34072269"},"language":"en","primary_location":{"id":"doi:10.3390/e23060678","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23060678","pdf_url":"https://www.mdpi.com/1099-4300/23/6/678/pdf?version=1622452078","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/6/678/pdf?version=1622452078","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100782679","display_name":"Xinran Liu","orcid":"https://orcid.org/0000-0002-8268-0286"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Liu","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064109559","display_name":"Zhongju Wang","orcid":"https://orcid.org/0000-0001-5124-6519"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongju Wang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China"],"raw_orcid":"https://orcid.org/0000-0001-5124-6519","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447540","display_name":"Long Wang","orcid":"https://orcid.org/0000-0001-6695-6054"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Wang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070357433","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0002-8012-3697"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China"],"raw_orcid":"https://orcid.org/0000-0002-8012-3697","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070952629","display_name":"Xiong Luo","orcid":"https://orcid.org/0000-0002-1929-8447"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Luo","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China"],"raw_orcid":"https://orcid.org/0000-0002-1929-8447","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528300, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100447540"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.6796,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70904361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"23","issue":"6","first_page":"678","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7158276438713074},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.615481972694397},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5581105947494507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5542687773704529},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5514241456985474},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5026876926422119},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4882698059082031},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.47084805369377136},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4627397656440735},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42195165157318115},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.4172179102897644},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.41554608941078186},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37269312143325806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2797989249229431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23126190900802612}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7158276438713074},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.615481972694397},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5581105947494507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5542687773704529},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5514241456985474},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5026876926422119},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4882698059082031},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.47084805369377136},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4627397656440735},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42195165157318115},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.4172179102897644},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.41554608941078186},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37269312143325806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2797989249229431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23126190900802612},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e23060678","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23060678","pdf_url":"https://www.mdpi.com/1099-4300/23/6/678/pdf?version=1622452078","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:34072269","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34072269","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:428c214b0347436c922e160ef4ef41a9","is_oa":true,"landing_page_url":"https://doaj.org/article/428c214b0347436c922e160ef4ef41a9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 23, Iss 6, p 678 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/6/678/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23060678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 23; Issue 6; Pages: 678","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8229128","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8229128","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23060678","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23060678","pdf_url":"https://www.mdpi.com/1099-4300/23/6/678/pdf?version=1622452078","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3709022764","display_name":null,"funder_award_id":"2018YFC0810601","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164331722.pdf","grobid_xml":"https://content.openalex.org/works/W3164331722.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W154669480","https://openalex.org/W225685947","https://openalex.org/W287811207","https://openalex.org/W1963889129","https://openalex.org/W1964483007","https://openalex.org/W1966540157","https://openalex.org/W1976134597","https://openalex.org/W1977295328","https://openalex.org/W1995085364","https://openalex.org/W1995810471","https://openalex.org/W2012333217","https://openalex.org/W2020552551","https://openalex.org/W2021380687","https://openalex.org/W2024991751","https://openalex.org/W2028201380","https://openalex.org/W2065251011","https://openalex.org/W2065292314","https://openalex.org/W2091510577","https://openalex.org/W2101028199","https://openalex.org/W2105894993","https://openalex.org/W2113341759","https://openalex.org/W2116314764","https://openalex.org/W2171074980","https://openalex.org/W2256493275","https://openalex.org/W2324169138","https://openalex.org/W2336667609","https://openalex.org/W2491179239","https://openalex.org/W2535095268","https://openalex.org/W2536664524","https://openalex.org/W2563702873","https://openalex.org/W2571216434","https://openalex.org/W2597358295","https://openalex.org/W2616970156","https://openalex.org/W2908633847","https://openalex.org/W2961079568","https://openalex.org/W2963566548","https://openalex.org/W2967459626","https://openalex.org/W2982168727","https://openalex.org/W2989729002","https://openalex.org/W3015758898","https://openalex.org/W3015799856","https://openalex.org/W3094279629","https://openalex.org/W3142929392","https://openalex.org/W3145697163","https://openalex.org/W6666960992"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W4309047791","https://openalex.org/W2342132082","https://openalex.org/W2029210669","https://openalex.org/W2794005470","https://openalex.org/W824654545"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"hybrid":[4],"Rao-Nelder-Mead":[5],"(Rao-NM)":[6],"algorithm":[7,16,20,23,34,41,109],"for":[8,51],"image":[9,83,130],"template":[10],"matching":[11,71,131],"is":[12,42,66,73,124],"proposed.":[13],"The":[14,63,116],"developed":[15],"incorporates":[17],"the":[18,26,32,52,57,70,89,92,121],"Rao-1":[19,33,102],"and":[21,35,48,81,126],"NM":[22,40],"serially.":[24],"Thus,":[25],"powerful":[27],"global":[28,61],"search":[29,37,50],"capability":[30,38],"of":[31,39,59,91],"local":[36],"fully":[43],"exploited.":[44],"It":[45],"can":[46],"quickly":[47],"accurately":[49],"high-quality":[53],"optimal":[54],"solution":[55],"on":[56],"basis":[58],"ensuring":[60],"convergence.":[62],"computing":[64],"time":[65],"highly":[67],"reduced,":[68],"while":[69],"accuracy":[72],"significantly":[74],"improved.":[75],"Four":[76],"commonly":[77,97],"applied":[78],"optimization":[79,106],"problems":[80],"three":[82,96],"datasets":[84],"are":[85,111],"employed":[86],"to":[87],"assess":[88],"performance":[90],"proposed":[93,122],"method.":[94],"Meanwhile,":[95],"used":[98],"algorithms,":[99],"including":[100],"generic":[101],"algorithm,":[103],"particle":[104],"swarm":[105],"(PSO),":[107],"genetic":[108],"(GA),":[110],"considered":[112],"as":[113],"benchmarking":[114],"algorithms.":[115],"experiment":[117],"results":[118],"demonstrate":[119],"that":[120],"method":[123],"effective":[125],"efficient":[127],"in":[128],"solving":[129],"problems.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}