{"id":"https://openalex.org/W7202378520","doi":"https://doi.org/10.1145/3795101.3814662","title":"Genetic Programming for Automated Design of Problem-specific Scaling Factor Adaptation Strategies for Differential Evolution","display_name":"Genetic Programming for Automated Design of Problem-specific Scaling Factor Adaptation Strategies for Differential Evolution","publication_year":2026,"publication_date":"2026-07-13","ids":{"openalex":"https://openalex.org/W7202378520","doi":"https://doi.org/10.1145/3795101.3814662"},"language":null,"primary_location":{"id":"doi:10.1145/3795101.3814662","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795101.3814662","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3795101.3814662","any_repository_has_fulltext":false},"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/I4853710","display_name":"Siberian Federal University","ror":"https://ror.org/05fw97k56","country_code":"RU","type":"education","lineage":["https://openalex.org/I4853710"]},{"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 of Science and Technology, Krasnoyarsk, Russian Federation","Siberian Federal University, Krasnoyarsk, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-1695-5798","affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation","institution_ids":["https://openalex.org/I56490300"]},{"raw_affiliation_string":"Siberian Federal University, Krasnoyarsk, Russian Federation","institution_ids":["https://openalex.org/I4853710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002679497"],"corresponding_institution_ids":["https://openalex.org/I4853710","https://openalex.org/I56490300"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1104","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5575000047683716},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5273000001907349},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.42500001192092896},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.3395000100135803},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.3377000093460083},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.33230000734329224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877000093460083},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5575000047683716},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43290001153945923},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3246000111103058},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3795101.3814662","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795101.3814662","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3795101.3814662","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3795101.3814662","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1557278687","https://openalex.org/W1977683584","https://openalex.org/W2054536516","https://openalex.org/W2151554678","https://openalex.org/W2156589241","https://openalex.org/W2310612427","https://openalex.org/W2484166844","https://openalex.org/W2769559227","https://openalex.org/W2961419896","https://openalex.org/W3023345483","https://openalex.org/W4311970927","https://openalex.org/W4389755544","https://openalex.org/W4391029701","https://openalex.org/W4395686790","https://openalex.org/W4401414796","https://openalex.org/W4401415322","https://openalex.org/W4401638034","https://openalex.org/W4403787471","https://openalex.org/W6929168429","https://openalex.org/W7140663624"],"related_works":[],"abstract_inverted_index":{"Modern":[0],"differential":[1],"evolution":[2],"algorithms":[3],"are":[4,13,37,63,77,89],"equipped":[5],"with":[6],"universal":[7],"scaling":[8,99],"factor":[9,100],"adaptation":[10,34,61,112],"strategies,":[11],"which":[12,36,88],"meant":[14],"to":[15,30,115],"perform":[16],"well":[17],"in":[18,92],"all":[19],"scenarios.":[20],"In":[21],"this":[22],"study":[23],"the":[24,43,58,74,82,122,125,130],"tree-based":[25],"genetic":[26],"programming":[27],"is":[28,53,71],"used":[29,94],"automatically":[31],"design":[32],"problem-specific":[33],"techniques,":[35],"created":[38],"for":[39],"test":[40],"functions":[41],"of":[42,108,124,132,137,142],"Congress":[44],"on":[45,65,81],"Evolutionary":[46],"Computation":[47],"2017":[48],"benchmark.":[49],"The":[50,106],"L-SRTDE":[51],"algorithm":[52],"chosen":[54],"as":[55,97],"baseline,":[56],"and":[57,84,111,128],"newly":[59],"generated":[60,75],"strategies":[62,76],"compared":[64],"each":[66],"benchmark":[67,126],"function":[68,109],"separately.":[69],"It":[70],"shown":[72],"that":[73],"highly":[78],"diverse":[79],"depending":[80],"function,":[83],"often":[85],"have":[86],"properties,":[87],"rarely":[90],"observed":[91],"widely":[93],"methods,":[95],"such":[96],"setting":[98],"above":[101],"one":[102],"or":[103,140],"below":[104],"zero.":[105],"analysis":[107],"properties":[110,123],"techniques":[113],"designed":[114],"solve":[116],"them":[117],"efficiently":[118],"gives":[119],"insights":[120],"into":[121],"set,":[127],"questions":[129],"existence":[131],"bias":[133],"towards":[134],"certain":[135],"type":[136,141],"problems":[138],"landscape":[139],"algorithm.":[143]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2026-08-14T00:00:00"}
