{"id":"https://openalex.org/W2130086956","doi":"https://doi.org/10.1109/cec.2009.4983291","title":"Investigating the effect of pruning on the diversity and fitness of robot controllers based on MDL2\u2208 during Genetic Programming","display_name":"Investigating the effect of pruning on the diversity and fitness of robot controllers based on MDL2\u2208 during Genetic Programming","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2130086956","doi":"https://doi.org/10.1109/cec.2009.4983291","mag":"2130086956"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2009.4983291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2009.4983291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3430240","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086396647","display_name":"M. Szymanski","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Szymanski","raw_affiliation_strings":["Institute for Process Control and Robotics (IPR), Universit\u00e4t Karlsruhe(TH), D-76128, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Process Control and Robotics (IPR), Universit\u00e4t Karlsruhe(TH), D-76128, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091849797","display_name":"Heinz W\u00f6rn","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H. Worn","raw_affiliation_strings":["Institute for Process Control and Robotics (IPR), Universit\u00e4t Karlsruhe(TH), D-76128, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Process Control and Robotics (IPR), Universit\u00e4t Karlsruhe(TH), D-76128, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108428739","display_name":"Jan Fischer","orcid":null},"institutions":[{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer-Gesellschaft","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"government","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Fischer","raw_affiliation_strings":["Fraunhofer Institute for Manufacturing Engineering, D-70504 Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Manufacturing Engineering, D-70504 Stuttgart, Germany","institution_ids":["https://openalex.org/I4923324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8119,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88033488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2780","last_page":"2787"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9970999956130981,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7689481377601624},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.726059079170227},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6325031518936157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5623985528945923},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5492997169494629},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4926148056983948},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4833099842071533},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.48120906949043274},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4792202115058899},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.47853192687034607},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.47458624839782715},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.4464772939682007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4335116147994995},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3880218267440796},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35326629877090454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3125762939453125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15204453468322754},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0744224488735199}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7689481377601624},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.726059079170227},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6325031518936157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623985528945923},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5492997169494629},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4926148056983948},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4833099842071533},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.48120906949043274},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4792202115058899},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.47853192687034607},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.47458624839782715},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.4464772939682007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4335116147994995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3880218267440796},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35326629877090454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3125762939453125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15204453468322754},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0744224488735199},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cec.2009.4983291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2009.4983291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-171486","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-171486.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IPA","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/365607","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/365607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"pmh:oai:zenodo.org:3430240","is_oa":true,"landing_page_url":"https://zenodo.org/record/3430240","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3430240","is_oa":true,"landing_page_url":"https://zenodo.org/record/3430240","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1484556532","https://openalex.org/W1507941030","https://openalex.org/W1515851193","https://openalex.org/W1576818901","https://openalex.org/W1588528656","https://openalex.org/W2070891817","https://openalex.org/W2130491813","https://openalex.org/W2166963499","https://openalex.org/W2725085082","https://openalex.org/W4214717370","https://openalex.org/W4244780274","https://openalex.org/W6630548958","https://openalex.org/W6679552340","https://openalex.org/W6740244389"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W2036107212","https://openalex.org/W1792573625","https://openalex.org/W1991622971","https://openalex.org/W1925901016","https://openalex.org/W2097965245","https://openalex.org/W2164084664","https://openalex.org/W1634842376","https://openalex.org/W4294725171","https://openalex.org/W1562117546"],"abstract_inverted_index":{"In":[0],"this":[1,92],"paper":[2],"we":[3],"propose":[4],"a":[5,40,65,77,86,128],"new":[6],"diversity":[7,25,38,63,106,143],"measure":[8,26,64],"based":[9],"on":[10,36,114],"the":[11,17,32,37,49,53,58,61,104,123,135],"correlation":[12],"of":[13,19,34,39,52,60,91,134],"bit":[14,131],"strings":[15],"for":[16,142],"analysis":[18,90],"genetic":[20,43],"programming":[21,44],"(GP)":[22],"experiments.":[23],"The":[24,109],"has":[27,111,122],"been":[28,112],"applied":[29],"to":[30,48,75,81,103],"analyse":[31],"impact":[33],"pruning":[35,99],"population":[41,105],"during":[42],"and":[45,107],"its":[46],"relation":[47],"convergence":[50],"time":[51],"fitness":[54],"function.":[55],"To":[56],"show":[57],"usability":[59],"proposed":[62],"GP":[66,110],"experiment":[67,93],"is":[68,94],"introduced":[69],"where":[70],"simulated":[71],"Jasmine":[72],"robots":[73],"have":[74],"learn":[76],"collision":[78],"avoidance":[79],"behaviour":[80],"find":[82],"their":[83],"way":[84],"through":[85],"maze.":[87],"A":[88],"full":[89],"given":[95],"with":[96],"different":[97],"fixed":[98],"strategies":[100],"in":[101,119],"respect":[102],"fitness.":[108],"done":[113],"behaviour-based":[115],"robot":[116],"controllers":[117],"implemented":[118],"MDL2isin.":[120],"MDL2isin":[121],"advantage":[124],"that":[125],"it":[126],"provides":[127],"very":[129],"compact":[130],"string":[132],"representation":[133],"control":[136],"programme,":[137],"which":[138],"can":[139],"be":[140],"used":[141],"analysis.":[144]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}