{"id":"https://openalex.org/W2978211019","doi":"https://doi.org/10.5220/0008071201800187","title":"Genetic Algorithm with Success History based Parameter Adaptation","display_name":"Genetic Algorithm with Success History based Parameter Adaptation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978211019","doi":"https://doi.org/10.5220/0008071201800187","mag":"2978211019"},"language":"en","primary_location":{"id":"doi:10.5220/0008071201800187","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008071201800187","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0008071201800187","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002679497","display_name":"Vladimir Stanovov","orcid":"https://orcid.org/0000-0002-1695-5798"},"institutions":[{"id":"https://openalex.org/I56490300","display_name":"Siberian State Aerospace University","ror":"https://ror.org/05r50mj29","country_code":"RU","type":"education","lineage":["https://openalex.org/I56490300"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vladimir Stanovov","raw_affiliation_strings":["Reshetnev Siberian State University, Krasnoyarskii rabochii ave. 31, 660037, Krasnoyarsk and Russian Federation, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University, Krasnoyarskii rabochii ave. 31, 660037, Krasnoyarsk and Russian Federation, --- Select a Country ---","institution_ids":["https://openalex.org/I56490300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035659737","display_name":"Shakhnaz Akhmedova","orcid":"https://orcid.org/0000-0003-2927-1974"},"institutions":[{"id":"https://openalex.org/I56490300","display_name":"Siberian State Aerospace University","ror":"https://ror.org/05r50mj29","country_code":"RU","type":"education","lineage":["https://openalex.org/I56490300"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Shakhnaz Akhmedova","raw_affiliation_strings":["Reshetnev Siberian State University, Krasnoyarskii rabochii ave. 31, 660037, Krasnoyarsk and Russian Federation, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University, Krasnoyarskii rabochii ave. 31, 660037, Krasnoyarsk and Russian Federation, --- Select a Country ---","institution_ids":["https://openalex.org/I56490300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035349875","display_name":"Eugene Semenkin","orcid":"https://orcid.org/0000-0002-3776-5707"},"institutions":[{"id":"https://openalex.org/I56490300","display_name":"Siberian State Aerospace University","ror":"https://ror.org/05r50mj29","country_code":"RU","type":"education","lineage":["https://openalex.org/I56490300"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Eugene Semenkin","raw_affiliation_strings":["Reshetnev Siberian State University, Krasnoyarskii rabochii ave. 31, 660037, Krasnoyarsk and Russian Federation, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University, Krasnoyarskii rabochii ave. 31, 660037, Krasnoyarsk and Russian Federation, --- Select a Country ---","institution_ids":["https://openalex.org/I56490300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002679497"],"corresponding_institution_ids":["https://openalex.org/I56490300"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.661059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9918000102043152,"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":0.9918000102043152,"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":0.9290000200271606,"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/computer-science","display_name":"Computer science","score":0.6432172656059265},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5985608696937561},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4868306517601013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4425400495529175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3216456174850464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2600992023944855},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09573495388031006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432172656059265},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5985608696937561},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4868306517601013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4425400495529175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3216456174850464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2600992023944855},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09573495388031006},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0008071201800187","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008071201800187","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0008071201800187","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008071201800187","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Genetic":[0],"algorithm":[1,36,65,94,146],"is":[2,32,95,160],"a":[3,91],"popular":[4],"optimization":[5,10,80,84,136],"method":[6,43],"for":[7,47,63,102,134],"solving":[8,73],"binary":[9,79,152],"problems.":[11,85],"However,":[12],"its":[13,39],"efficiency":[14],"highly":[15],"depends":[16],"on":[17,122,131,151],"the":[18,21,26,99,123,129,143,148,155,167,170],"parameters":[19],"of":[20,50,59,69,76,104,107,125,158,169],"algorithm.":[22],"In":[23],"this":[24,89],"study":[25],"success":[27],"history":[28],"adaptation":[29,61],"(SHA)":[30],"mechanism":[31],"applied":[33],"to":[34,37],"genetic":[35,64,93],"improve":[38],"performance.":[40],"The":[41,57,118,139],"SHA":[42],"was":[44,120],"originally":[45],"proposed":[46],"another":[48],"class":[49],"evolutionary":[51],"algorithms,":[52],"namely":[53],"differential":[54],"evolution":[55],"(DE).":[56],"application":[58],"DE\u2019s":[60],"mechanisms":[62,101],"allowed":[66],"significant":[67],"improvement":[68],"GA":[70,150],"performance":[71],"when":[72],"different":[74],"types":[75,115],"problems":[77,81,153],"including":[78],"and":[82,112,154],"continuous":[83,156],"For":[86],"comparison,":[87],"in":[88,97,137],"study,":[90],"self-configured":[92],"implemented,":[96],"which":[98,165],"adaptive":[100],"probabilities":[103],"choosing":[105],"one":[106],"three":[108,110,113],"selection,":[109],"crossover":[111],"mutation":[114],"are":[116],"implemented.":[117],"comparison":[119],"performed":[121],"set":[124],"functions,":[126],"presented":[127,171],"at":[128],"Congress":[130],"Evolutionary":[132],"Computation":[133],"numerical":[135],"2017.":[138],"results":[140],"demonstrate":[141],"that":[142],"developed":[144],"SHAGA":[145,159],"outperforms":[147],"self-configuring":[149],"version":[157],"competetive":[161],"against":[162],"other":[163],"methods,":[164],"proves":[166],"importance":[168],"modification.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
