{"id":"https://openalex.org/W4385189965","doi":"https://doi.org/10.1145/3583133.3590681","title":"On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis","display_name":"On the Trade-Off between Population Size and Number of Generations in GP for Program Synthesis","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385189965","doi":"https://doi.org/10.1145/3583133.3590681"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590681","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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/A5049752195","display_name":"Martin Briesch","orcid":"https://orcid.org/0000-0002-8209-1465"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Briesch","raw_affiliation_strings":["University of Mainz, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066837192","display_name":"Dominik Sobania","orcid":"https://orcid.org/0000-0001-8873-7143"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominik Sobania","raw_affiliation_strings":["University of Mainz, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035443886","display_name":"Franz Rothlauf","orcid":"https://orcid.org/0000-0003-3376-427X"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franz Rothlauf","raw_affiliation_strings":["University of Mainz, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049752195"],"corresponding_institution_ids":["https://openalex.org/I197323543"],"apc_list":null,"apc_paid":null,"fwci":0.5219,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71044634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"535","last_page":"538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9958999752998352,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9577999711036682,"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/crossover","display_name":"Crossover","score":0.9417751431465149},{"id":"https://openalex.org/keywords/population-size","display_name":"Population size","score":0.6389857530593872},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6300218105316162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5808842778205872},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.5548047423362732},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5469458699226379},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.461569219827652},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4111776053905487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1504042148590088},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15032422542572021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12146309018135071},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.09325301647186279},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09020170569419861},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07936060428619385},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.064414381980896}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.9417751431465149},{"id":"https://openalex.org/C169733012","wikidata":"https://www.wikidata.org/wiki/Q1613416","display_name":"Population size","level":3,"score":0.6389857530593872},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6300218105316162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5808842778205872},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.5548047423362732},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5469458699226379},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.461569219827652},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4111776053905487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1504042148590088},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15032422542572021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12146309018135071},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.09325301647186279},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09020170569419861},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07936060428619385},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.064414381980896},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3590681","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322301","display_name":"Johannes Gutenberg-Universit\u00e4t Mainz","ror":"https://ror.org/023b0x485"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1593481303","https://openalex.org/W1978661986","https://openalex.org/W2034068348","https://openalex.org/W2136414484","https://openalex.org/W2138289358","https://openalex.org/W2279435443","https://openalex.org/W2335996944","https://openalex.org/W2557514071","https://openalex.org/W2604556510","https://openalex.org/W2604662548","https://openalex.org/W2886010853","https://openalex.org/W2961535796","https://openalex.org/W2962253150","https://openalex.org/W3173383004","https://openalex.org/W3198225904","https://openalex.org/W4220900977","https://openalex.org/W4285734663"],"related_works":["https://openalex.org/W2082776239","https://openalex.org/W2142324575","https://openalex.org/W2123029667","https://openalex.org/W2051028534","https://openalex.org/W2164305954","https://openalex.org/W1501730763","https://openalex.org/W2046401452","https://openalex.org/W1772786136","https://openalex.org/W1963986408","https://openalex.org/W1593354505"],"abstract_inverted_index":{"When":[0],"using":[1,93,107,124],"genetic":[2],"programming":[3],"for":[4,110,151],"program":[5,17,87,152],"synthesis,":[6],"we":[7,50,67,104,135],"are":[8],"usually":[9,127],"constrained":[10],"by":[11,26],"a":[12,40,83,99],"computational":[13,22],"budget":[14,23],"measured":[15],"in":[16],"executions":[18],"during":[19],"evolution.":[20],"The":[21],"is":[24],"influenced":[25],"the":[27,52,70],"choice":[28],"of":[29,34,54,57,62,72,85],"population":[30,58,95],"size":[31],"and":[32,60,90,112,144],"number":[33,61],"generations":[35,63],"per":[36],"run":[37],"leading":[38],"to":[39,98,115,129],"trade-off":[41],"between":[42],"both":[43],"possibilities.":[44],"To":[45],"better":[46,100],"understand":[47],"this":[48,77],"trade-off,":[49],"analyze":[51,68],"effects":[53],"different":[55,73],"combinations":[56],"sizes":[59,96],"on":[64,82,120],"performance.":[65,102,132],"Further,":[66],"how":[69],"use":[71],"variation":[74],"operators":[75],"affects":[76],"trade-off.":[78],"We":[79],"conduct":[80],"experiments":[81],"range":[84],"common":[86],"synthesis":[88,153],"benchmarks":[89],"find":[91,105,136],"that":[92,106,137],"larger":[94],"lead":[97,114],"search":[101,131],"Additionally,":[103],"high":[108,142],"probabilities":[109],"crossover":[111,122,145],"mutation":[113,126,143],"higher":[116],"success":[117],"rates.":[118],"Focusing":[119],"only":[121,125],"or":[123],"leads":[128],"lower":[130],"In":[133],"summary,":[134],"large":[138],"populations":[139],"combined":[140],"with":[141],"rates":[146],"yield":[147],"highest":[148],"GP":[149],"performance":[150],"approaches.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
