{"id":"https://openalex.org/W2086713189","doi":"https://doi.org/10.1109/cec.2014.6900402","title":"A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation","display_name":"A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2086713189","doi":"https://doi.org/10.1109/cec.2014.6900402","mag":"2086713189"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021222681","display_name":"Yunzhi Jiang","orcid":"https://orcid.org/0000-0001-5373-521X"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhi Jiang","raw_affiliation_strings":["College of Engineering, University of Technology Sydney, Sydney, Taiwan","[School of Software, Jiangxi Agricultural University, Nanchang, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, University of Technology Sydney, Sydney, Taiwan","institution_ids":[]},{"raw_affiliation_string":"[School of Software, Jiangxi Agricultural University, Nanchang, China]","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396980","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0002-9257-2895"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059900366","display_name":"Zhenlun Yang","orcid":"https://orcid.org/0000-0003-4514-9901"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlun Yang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703792","display_name":"Yinglong Wang","orcid":"https://orcid.org/0000-0002-8806-3326"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinglong Wang","raw_affiliation_strings":["School of Software, Jiangxi Agricultural University, Nanchang, China","[School of Software, Jiangxi Agricultural University, Nanchang, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]},{"raw_affiliation_string":"[School of Software, Jiangxi Agricultural University, Nanchang, China]","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605971","display_name":"Huojiao He","orcid":"https://orcid.org/0000-0001-8404-1691"},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huojiao He","raw_affiliation_strings":["School of Software, Jiangxi Agricultural University, Nanchang, China","[School of Software, Jiangxi Agricultural University, Nanchang, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]},{"raw_affiliation_string":"[School of Software, Jiangxi Agricultural University, Nanchang, China]","institution_ids":["https://openalex.org/I74837319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1579","last_page":"1585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996999979019165,"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":0.996999979019165,"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":0.9925000071525574,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.696082592010498},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6725755929946899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6711917519569397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.658261775970459},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6492935419082642},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5345264077186584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5255768895149231},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5053675770759583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4839642345905304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41270118951797485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3550150394439697}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.696082592010498},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6725755929946899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6711917519569397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.658261775970459},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6492935419082642},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5345264077186584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5255768895149231},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5053675770759583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4839642345905304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41270118951797485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3550150394439697},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1555689267","https://openalex.org/W1957692442","https://openalex.org/W1969351979","https://openalex.org/W1996806850","https://openalex.org/W2027091505","https://openalex.org/W2064707511","https://openalex.org/W2071042783","https://openalex.org/W2080607403","https://openalex.org/W2081200191","https://openalex.org/W2083970667","https://openalex.org/W2092340766","https://openalex.org/W2093033795","https://openalex.org/W2095417313","https://openalex.org/W2099452537","https://openalex.org/W2104447397","https://openalex.org/W2118840131","https://openalex.org/W2151939106","https://openalex.org/W2170741744"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2327601824","https://openalex.org/W4237142086","https://openalex.org/W2161102362"],"abstract_inverted_index":{"The":[0],"problems":[1],"of":[2,19,44,63,84],"multi-threshold":[3],"image":[4,10,34,89,118],"segmentation":[5,35],"remain":[6],"great":[7],"challenges":[8],"for":[9,33],"compression,":[11],"target":[12,123],"recognition":[13],"and":[14,54,110],"computer":[15],"vision.":[16],"However,":[17],"most":[18],"them":[20],"are":[21],"time-consuming.":[22],"This":[23],"paper":[24],"proposes":[25],"a":[26,69,92,97],"cooperative":[27,56],"honey":[28,49],"bee":[29,50],"mating-based":[30],"algorithm":[31],"(CHBMA)":[32],"to":[36,74,81,96,113],"save":[37],"computation":[38],"time":[39],"while":[40],"conquer":[41],"the":[42,55,60,64,76,82],"curse":[43],"dimensionality.":[45],"CHBMA,":[46],"based":[47],"on":[48],"mating":[51],"algorithms":[52],"(HBMA)":[53],"learning,":[57],"greatly":[58],"enhances":[59],"search":[61,77],"capability":[62],"algorithm.":[65],"Moreover,":[66],"we":[67],"adopt":[68],"new":[70],"population":[71],"initialization":[72],"strategy":[73],"make":[75],"more":[78,108],"efficient,":[79],"according":[80],"characters":[83],"multilevel":[85],"thresholding":[86,129],"in":[87,116],"an":[88],"arranged":[90],"from":[91],"low":[93],"gray":[94],"level":[95],"high":[98],"one.":[99],"Extensive":[100],"experiments":[101],"have":[102],"shown":[103],"that":[104],"CHBMA":[105],"can":[106],"deliver":[107],"effective":[109],"efficient":[111],"results":[112],"be":[114],"applied":[115],"complex":[117],"processing":[119],"such":[120],"as":[121],"automatic":[122],"recognition,":[124],"compared":[125],"with":[126],"state-of-the-art":[127],"population-based":[128],"methods.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}