{"id":"https://openalex.org/W2168357649","doi":"https://doi.org/10.1109/cec.2008.4630873","title":"A novel Genetic Particle-Pair Optimizer for Vector Quantization in image coding","display_name":"A novel Genetic Particle-Pair Optimizer for Vector Quantization in image coding","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2168357649","doi":"https://doi.org/10.1109/cec.2008.4630873","mag":"2168357649"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4630873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4630873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","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/A5067453472","display_name":"Huilian Liao","orcid":"https://orcid.org/0000-0002-5114-7294"},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Huilian Liao","raw_affiliation_strings":["Texas Instruments DSPs Laboratory, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Texas Instruments DSPs Laboratory, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I74760111","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025341885","display_name":"Zhen Ji","orcid":"https://orcid.org/0000-0003-4006-7456"},"institutions":[{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhen Ji","raw_affiliation_strings":["Texas Instruments DSPs Laboratory, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Texas Instruments DSPs Laboratory, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I74760111","https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016939864","display_name":"Qinghua Wu","orcid":"https://orcid.org/0000-0002-0598-8367"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Q. H. Wu","raw_affiliation_strings":["Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067453472"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I74760111"],"apc_list":null,"apc_paid":null,"fwci":1.4047,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84683175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9959999918937683,"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":0.9872000217437744,"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/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.9454429149627686},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.9399308562278748},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.8042818307876587},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6369465589523315},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.6145105957984924},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5781849026679993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5703378915786743},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5276713967323303},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5118102431297302},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48801055550575256},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4678265452384949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43581193685531616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38428714871406555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.318462610244751}],"concepts":[{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.9454429149627686},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.9399308562278748},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.8042818307876587},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6369465589523315},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.6145105957984924},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5781849026679993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5703378915786743},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5276713967323303},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5118102431297302},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48801055550575256},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4678265452384949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43581193685531616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38428714871406555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.318462610244751},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2008.4630873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4630873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","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":15,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1634005169","https://openalex.org/W1990368529","https://openalex.org/W1991059802","https://openalex.org/W2035684206","https://openalex.org/W2096233009","https://openalex.org/W2109364787","https://openalex.org/W2109667412","https://openalex.org/W2134383396","https://openalex.org/W2152195021","https://openalex.org/W2157741195","https://openalex.org/W2164531580","https://openalex.org/W2165299997","https://openalex.org/W2385911775","https://openalex.org/W6674702116"],"related_works":["https://openalex.org/W2017514583","https://openalex.org/W2391875658","https://openalex.org/W2100120615","https://openalex.org/W1929869830","https://openalex.org/W2017401491","https://openalex.org/W2387054321","https://openalex.org/W2158612577","https://openalex.org/W2352648934","https://openalex.org/W2145213141","https://openalex.org/W2170599662"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,113,121],"novel":[4],"genetic":[5,46,57],"particle-pair":[6,19,108],"optimizer":[7,109],"(GPPO)":[8],"for":[9],"vector":[10,37,92,100,117],"quantization":[11,38,93,101],"of":[12,22,30,56,72,124,129,134,141],"image":[13],"coding.":[14],"GPPO":[15,40,78,111],"only":[16],"applies":[17],"that":[20,69,82],"consists":[21],"two":[23],"particles,":[24],"which":[25,97],"contributes":[26],"to":[27,53,116],"the":[28,42,54,70,73,127,135,139,142],"relief":[29],"huge":[31],"computation":[32],"load":[33],"in":[34,45,126],"most":[35],"existing":[36],"algorithms.":[39],"combines":[41],"advantage":[43],"both":[44],"algorithms":[47],"and":[48,59,107,119],"particle":[49,60],"swarm":[50],"optimization,":[51],"due":[52],"use":[55],"operators":[58,61],"at":[62],"each":[63],"generation.":[64],"Experimental":[65],"results":[66],"have":[67],"demonstrated":[68],"quality":[71,128],"codebook":[74,130,137,144],"design":[75],"optimized":[76,83],"by":[77,85],"is":[79,145],"better":[80],"than":[81],"respectively":[84],"fuzzy":[86,89,99],"K-means":[87],"(FKM),":[88],"reinforcement":[90],"learning":[91],"(FRLVQ,":[94],"improved":[95],"FRLVQ":[96],"uses":[98],"(FVQ":[102],"as":[103],"post-process,":[104],"called":[105],"FRLVQ-FVQ,":[106],"(PPO).":[110],"provides":[112],"satisfactory":[114],"solution":[115],"quantization,":[118],"shows":[120],"steady":[122],"trend":[123],"improvement":[125],"design.":[131],"The":[132],"dependence":[133],"final":[136],"on":[138],"selection":[140],"initial":[143],"also":[146],"reduced.":[147]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}