{"id":"https://openalex.org/W1580778723","doi":"https://doi.org/10.1109/cec.2005.1554842","title":"Rank and Proximity Based Crossover (RPC) to Improve Convergence in Genetic Search","display_name":"Rank and Proximity Based Crossover (RPC) to Improve Convergence in Genetic Search","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W1580778723","doi":"https://doi.org/10.1109/cec.2005.1554842","mag":"1580778723"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2005.1554842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","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/A5101615097","display_name":"Goutam Chakraborty","orcid":"https://orcid.org/0000-0001-9661-1129"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"G. Chakraborty","raw_affiliation_strings":["Iwate Prefectural University, Iwate, Japan","Iwate Prefectural Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]},{"raw_affiliation_string":"Iwate Prefectural Univ., Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101612450","display_name":"Basabi Chakraborty","orcid":"https://orcid.org/0000-0002-6211-9790"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"B. Chakraborty","raw_affiliation_strings":["Iwate Prefectural University, Iwate, Japan","Iwate Prefectural Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iwate Prefectural University, Iwate, Japan","institution_ids":["https://openalex.org/I6090238"]},{"raw_affiliation_string":"Iwate Prefectural Univ., Japan","institution_ids":["https://openalex.org/I6090238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I6090238"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.10309619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1311","last_page":"1316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9980999827384949,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/crossover","display_name":"Crossover","score":0.9799824953079224},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6299511194229126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5824761986732483},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5816966891288757},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5784388780593872},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4282242953777313},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4247552156448364},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41259095072746277},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36120742559432983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3140068054199219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2586510181427002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1753169596195221},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1462363600730896},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0884992778301239},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.0828651487827301}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.9799824953079224},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6299511194229126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824761986732483},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5816966891288757},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5784388780593872},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4282242953777313},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4247552156448364},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41259095072746277},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36120742559432983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3140068054199219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2586510181427002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1753169596195221},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1462363600730896},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0884992778301239},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0828651487827301},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2005.1554842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2005.1554842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.580.1706","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.580.1706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.chishiki.soft.iwate-pu.ac.jp/~goutam/fewPapers/cec-2005.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W36351923","https://openalex.org/W51260820","https://openalex.org/W1924859673","https://openalex.org/W1990771923","https://openalex.org/W2028569720","https://openalex.org/W2042704421","https://openalex.org/W2113237494","https://openalex.org/W2142183404","https://openalex.org/W2904250082","https://openalex.org/W3023540311","https://openalex.org/W6676745513"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W4299389082","https://openalex.org/W1943663474","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2962747841","https://openalex.org/W2014162767","https://openalex.org/W2809283963","https://openalex.org/W2367260997"],"abstract_inverted_index":{"A":[0],"new":[1],"crossover":[2,10,32,71,83,109],"technique,":[3],"we":[4],"named":[5],"rank":[6,37,76],"and":[7,16,44,77,138,152,154],"proximity":[8,78],"based":[9],"(RPC),":[11],"to":[12,93],"improve":[13],"the":[14,26,29,36,50,60,64,70,75,80,100,120],"speed":[15],"quality":[17],"of":[18,31,38,59,67,74,79,96,99,112,126,128,146],"solutions":[19],"in":[20,49,119],"genetic":[21,68],"search,":[22],"is":[23,33,55,72,157],"proposed.":[24],"In":[25,63],"proposed":[27],"strategy,":[28],"probability":[30,54,148],"more":[34],"when":[35,133],"two":[39,88],"chromosomes":[40,89,111,130],"are":[41,46,116,136,150],"both":[42],"high,":[43],"they":[45],"closely":[47,117],"located":[48,118],"search":[51,69,121],"space.":[52,102,122],"This":[53,123],"again":[56],"a":[57],"function":[58,149],"generation":[61],"number.":[62],"early":[65],"stage":[66],"independent":[73],"partners.":[81],"Thus,":[82],"takes":[84],"place":[85],"between":[86,110],"any":[87],"selected":[90],"for":[91],"crossover,":[92,132],"enable":[94],"exploration":[95],"diverse":[97],"locations":[98,135],"problem":[101],"With":[103],"advancing":[104],"generations,":[105],"RPC":[106],"probabilistically":[107],"encourages":[108],"higher":[113],"ranks":[114],"which":[115],"ensures":[124],"avoidance":[125],"disruption":[127],"good":[129],"by":[131],"prospective":[134],"found,":[137],"thus":[139],"achieves":[140],"much":[141],"faster":[142],"convergence.":[143],"Different":[144],"schemes":[145],"this":[147],"tried":[151],"evaluated,":[153],"convergence":[155],"efficiency":[156],"compared":[158],"with":[159],"other":[160],"competitive":[161],"algorithms.":[162]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
