{"id":"https://openalex.org/W2072918701","doi":"https://doi.org/10.1145/1569901.1570036","title":"Approximating geometric crossover in semantic space","display_name":"Approximating geometric crossover in semantic space","publication_year":2009,"publication_date":"2009-07-08","ids":{"openalex":"https://openalex.org/W2072918701","doi":"https://doi.org/10.1145/1569901.1570036","mag":"2072918701"},"language":"en","primary_location":{"id":"doi:10.1145/1569901.1570036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/147848","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034406933","display_name":"Krzysztof Krawiec","orcid":"https://orcid.org/0000-0001-5439-3231"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Krawiec","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085577261","display_name":"Pawe\u0142 Lichocki","orcid":null},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Lichocki","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034406933"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":8.5809,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.97681767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"987","last_page":"994"},"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":0.9940000176429749,"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":0.9811999797821045,"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":0.8886159658432007},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.7103591561317444},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6904518604278564},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6583583354949951},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.6529363393783569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5800038576126099},{"id":"https://openalex.org/keywords/grammatical-evolution","display_name":"Grammatical evolution","score":0.4768413305282593},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4588854908943176},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.42206212878227234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38880521059036255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3650375008583069},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3602434992790222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3385053873062134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22948461771011353},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.12081918120384216}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8886159658432007},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.7103591561317444},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6904518604278564},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6583583354949951},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.6529363393783569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5800038576126099},{"id":"https://openalex.org/C10906938","wikidata":"https://www.wikidata.org/wiki/Q5593687","display_name":"Grammatical evolution","level":3,"score":0.4768413305282593},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4588854908943176},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.42206212878227234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38880521059036255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3650375008583069},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3602434992790222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3385053873062134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22948461771011353},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.12081918120384216},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1569901.1570036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.233.2739","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.233.2739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:147848","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/147848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:147848","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/147848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W111223560","https://openalex.org/W1537870043","https://openalex.org/W1557290355","https://openalex.org/W1576818901","https://openalex.org/W1581584868","https://openalex.org/W1589720045","https://openalex.org/W1604115909","https://openalex.org/W1779560570","https://openalex.org/W2053175541","https://openalex.org/W2087992507","https://openalex.org/W2099320406","https://openalex.org/W2123027417","https://openalex.org/W2164305954","https://openalex.org/W2170552708","https://openalex.org/W2183056787","https://openalex.org/W2561848204","https://openalex.org/W4285719527","https://openalex.org/W6634984561","https://openalex.org/W6636075552","https://openalex.org/W6674851320"],"related_works":["https://openalex.org/W3006865984","https://openalex.org/W2003947101","https://openalex.org/W1792573625","https://openalex.org/W4286619620","https://openalex.org/W2897801744","https://openalex.org/W3023657597","https://openalex.org/W3090912852","https://openalex.org/W3046303201","https://openalex.org/W2176963978","https://openalex.org/W2967546367"],"abstract_inverted_index":{"We":[0,77,91],"propose":[1],"a":[2,30,38],"crossover":[3,15,64],"operator":[4],"that":[5],"works":[6],"with":[7,27,88],"genetic":[8],"programming":[9],"trees":[10],"and":[11,35,98,108],"is":[12],"approximately":[13,61],"geometric":[14,62],"in":[16,50],"the":[17,47,51,69,81,93,96],"semantic":[18,22,52,63,70],"space.":[19],"By":[20],"defining":[21],"as":[23],"program's":[24],"evaluation":[25],"profile":[26],"respect":[28],"to":[29,37,54],"set":[31],"of":[32,41,68,95],"fitness":[33,43,48,71],"cases":[34],"constraining":[36],"specific":[39],"class":[40],"metric-based":[42],"functions,":[44],"we":[45],"cause":[46],"landscape":[49,72],"space":[53],"have":[55],"perfect":[56],"fitness-distance":[57],"correlation.":[58],"The":[59],"proposed":[60,82],"exploits":[65],"this":[66],"property":[67],"by":[73],"an":[74,100],"appropriate":[75],"sampling.":[76],"demonstrate":[78],"also":[79],"how":[80],"method":[83],"may":[84],"be":[85],"conveniently":[86],"combined":[87],"hill":[89],"climbing.":[90],"discuss":[92],"properties":[94],"methods,":[97],"describe":[99],"extensive":[101],"computational":[102],"experiment":[103],"concerning":[104],"logical":[105],"function":[106],"synthesis":[107],"symbolic":[109],"regression.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
