{"id":"https://openalex.org/W3006548976","doi":"https://doi.org/10.1109/access.2020.2973411","title":"A Parallel Multi-Verse Optimizer for Application in Multilevel Image Segmentation","display_name":"A Parallel Multi-Verse Optimizer for Application in Multilevel Image Segmentation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006548976","doi":"https://doi.org/10.1109/access.2020.2973411","mag":"3006548976"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2973411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973411","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.2973411","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100730223","display_name":"Xiaopeng Wang","orcid":"https://orcid.org/0000-0002-4330-2151"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Wang","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4330-2151","affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019810689","display_name":"Jeng\u2010Shyang Pan","orcid":"https://orcid.org/0000-0002-3128-9025"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]},{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeng-Shyang Pan","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3128-9025","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105826134","display_name":"Shu\u2010Chuan Chu","orcid":"https://orcid.org/0000-0003-2117-0618"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Chuan Chu","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-2117-0618","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.344,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.98116342,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"32018","last_page":"32030"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.6781964302062988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5905476808547974},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5874171257019043},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.5286855101585388},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5126106142997742},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5011241436004639},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4749436676502228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43421316146850586},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3716607689857483},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3501472771167755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29905620217323303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2565435767173767},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.21062690019607544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10717681050300598}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6781964302062988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905476808547974},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5874171257019043},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.5286855101585388},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5126106142997742},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5011241436004639},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4749436676502228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43421316146850586},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3716607689857483},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3501472771167755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29905620217323303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2565435767173767},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.21062690019607544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10717681050300598},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2973411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973411","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:84be5ff16be446299baf8ced390263f7","is_oa":true,"landing_page_url":"https://doaj.org/article/84be5ff16be446299baf8ced390263f7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 32018-32030 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2973411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973411","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G6763706296","display_name":null,"funder_award_id":"61872085","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W118080606","https://openalex.org/W142830878","https://openalex.org/W1541288193","https://openalex.org/W1577517492","https://openalex.org/W1911834684","https://openalex.org/W1969774370","https://openalex.org/W1970354386","https://openalex.org/W1991927948","https://openalex.org/W2031183907","https://openalex.org/W2045050140","https://openalex.org/W2061438946","https://openalex.org/W2064076387","https://openalex.org/W2067943751","https://openalex.org/W2072610025","https://openalex.org/W2083601800","https://openalex.org/W2123838014","https://openalex.org/W2127607949","https://openalex.org/W2132181343","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2143560894","https://openalex.org/W2152195021","https://openalex.org/W2156194072","https://openalex.org/W2157259291","https://openalex.org/W2165299997","https://openalex.org/W2469486255","https://openalex.org/W2543580944","https://openalex.org/W2560552599","https://openalex.org/W2807154993","https://openalex.org/W2904326687","https://openalex.org/W2917884856","https://openalex.org/W2928261986","https://openalex.org/W2939714884","https://openalex.org/W2940342632","https://openalex.org/W2945797426","https://openalex.org/W2952195127","https://openalex.org/W2985679801","https://openalex.org/W3016005719","https://openalex.org/W3144240269","https://openalex.org/W4299577155","https://openalex.org/W6605774629","https://openalex.org/W6759768743","https://openalex.org/W6761875898"],"related_works":["https://openalex.org/W2162082990","https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2950423922","https://openalex.org/W2116074880","https://openalex.org/W2121780490","https://openalex.org/W2070977815","https://openalex.org/W2137136732","https://openalex.org/W2132113279"],"abstract_inverted_index":{"Multi-version":[0],"optimizer":[1,30,117,124],"(MVO)":[2],"inspired":[3],"by":[4],"the":[5,20,33,46,54,67,75,78,96,99,102,108,141,146,174],"multi-verse":[6,29],"theory":[7],"is":[8,36,41,81,143,153],"a":[9,26],"new":[10],"optimization":[11,17,111,121,130],"algorithm":[12,104,177],"for":[13],"challenging":[14],"multiple":[15],"parameter":[16],"problems":[18,162],"in":[19],"real":[21],"world.":[22],"In":[23,150],"this":[24],"paper,":[25],"novel":[27],"parallel":[28,39,127],"(PMVO)":[31],"with":[32,107],"communication":[34],"strategy":[35],"proposed.":[37],"The":[38,136,169],"mechanism":[40],"implemented":[42],"to":[43,145,156,185],"randomly":[44],"divide":[45],"initial":[47],"solutions":[48],"into":[49,89],"several":[50],"groups,":[51],"and":[52,73,86,126],"share":[53],"information":[55],"of":[56,70,98],"different":[57],"groups":[58],"after":[59],"each":[60],"fixed":[61],"iteration.":[62],"This":[63],"can":[64,178],"significantly":[65],"promote":[66],"cooperation":[68],"individual":[69],"MVO":[71,80],"algorithm,":[72],"reduce":[74],"deficiencies":[76],"that":[77,140,173],"original":[79],"premature":[82],"convergence,":[83],"search":[84,92],"stagnation":[85],"easily":[87],"trap":[88],"local":[90],"optimal":[91],"space.":[93],"To":[94],"confirm":[95],"performance":[97],"proposed":[100,175],"scheme,":[101],"PMVO":[103,142,152,176],"was":[105],"compared":[106,148,184],"other":[109,147,186],"well-known":[110],"algorithms,":[112],"such":[113],"as":[114],"gray":[115],"wolf":[116],"(GWO),":[118],"particle":[119,128],"swarm":[120,129],"(PSO),":[122],"multi-version":[123],"(MVO),":[125],"(PPSO)":[131],"under":[132],"CEC2013":[133],"test":[134],"suite.":[135],"experimental":[137],"results":[138,171],"prove":[139],"superior":[144],"algorithms.":[149,188],"addition,":[151],"also":[154],"applied":[155],"solve":[157],"complex":[158],"multilevel":[159],"image":[160,182],"segmentation":[161,183],"based":[163],"on":[164],"minimum":[165],"cross":[166],"entropy":[167],"thresholding.":[168],"application":[170],"appear":[172],"achieve":[179],"higher":[180],"quality":[181],"similar":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}