{"id":"https://openalex.org/W1980486485","doi":"https://doi.org/10.1145/1389095.1389252","title":"A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes","display_name":"A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W1980486485","doi":"https://doi.org/10.1145/1389095.1389252","mag":"1980486485"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389252","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual 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/A5010827013","display_name":"Thomas Weise","orcid":"https://orcid.org/0000-0002-9687-8509"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Thomas Weise","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063513367","display_name":"Stefan Niemczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Niemczyk","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025622214","display_name":"Hendrik Skubch","orcid":null},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hendrik Skubch","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030390468","display_name":"Roland Reichle","orcid":null},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland Reichle","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077860593","display_name":"Kurt Geihs","orcid":"https://orcid.org/0000-0001-9833-6108"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kurt Geihs","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010827013"],"corresponding_institution_ids":["https://openalex.org/I106157433"],"apc_list":null,"apc_paid":null,"fwci":4.5764,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94173987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"795","last_page":"802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9984999895095825,"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/fitness-landscape","display_name":"Fitness landscape","score":0.8371651768684387},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7093332409858704},{"id":"https://openalex.org/keywords/epistasis","display_name":"Epistasis","score":0.6858773231506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634353756904602},{"id":"https://openalex.org/keywords/neutrality","display_name":"Neutrality","score":0.523786187171936},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5169879198074341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3898754119873047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3534175455570221},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21477055549621582},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11538171768188477},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07943812012672424}],"concepts":[{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.8371651768684387},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7093332409858704},{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.6858773231506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634353756904602},{"id":"https://openalex.org/C2779581858","wikidata":"https://www.wikidata.org/wiki/Q9049677","display_name":"Neutrality","level":2,"score":0.523786187171936},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5169879198074341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3898754119873047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3534175455570221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21477055549621582},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11538171768188477},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07943812012672424},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1389095.1389252","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W61531092","https://openalex.org/W153837822","https://openalex.org/W161216389","https://openalex.org/W234963275","https://openalex.org/W1466858243","https://openalex.org/W1479771599","https://openalex.org/W1497256448","https://openalex.org/W1511423531","https://openalex.org/W1512383952","https://openalex.org/W1513434371","https://openalex.org/W1514875444","https://openalex.org/W1533419692","https://openalex.org/W1573534773","https://openalex.org/W1574175429","https://openalex.org/W1589720045","https://openalex.org/W1595498733","https://openalex.org/W1596568617","https://openalex.org/W1842472855","https://openalex.org/W1864723818","https://openalex.org/W1969857637","https://openalex.org/W1970957621","https://openalex.org/W1976632102","https://openalex.org/W1980073965","https://openalex.org/W1983362322","https://openalex.org/W1992339380","https://openalex.org/W2004875842","https://openalex.org/W2014068377","https://openalex.org/W2027649639","https://openalex.org/W2037703285","https://openalex.org/W2038774686","https://openalex.org/W2042301877","https://openalex.org/W2057268632","https://openalex.org/W2064164319","https://openalex.org/W2082383308","https://openalex.org/W2096709995","https://openalex.org/W2097571405","https://openalex.org/W2107951961","https://openalex.org/W2108020239","https://openalex.org/W2122410182","https://openalex.org/W2135864487","https://openalex.org/W2150077224","https://openalex.org/W2151924821","https://openalex.org/W2155019998","https://openalex.org/W2169894774","https://openalex.org/W2286820308","https://openalex.org/W2342204193","https://openalex.org/W2478229556","https://openalex.org/W2486609979","https://openalex.org/W3132347552","https://openalex.org/W4205232216","https://openalex.org/W4241226388","https://openalex.org/W4242442914","https://openalex.org/W4243275074","https://openalex.org/W4256451422","https://openalex.org/W4285719527","https://openalex.org/W4300973511"],"related_works":["https://openalex.org/W4225153397","https://openalex.org/W4295749382","https://openalex.org/W2952742538","https://openalex.org/W4301429967","https://openalex.org/W4304195508","https://openalex.org/W4302338605","https://openalex.org/W2337872996","https://openalex.org/W2950940317","https://openalex.org/W1968336705","https://openalex.org/W2953017728"],"abstract_inverted_index":{"The":[0],"fitness":[1,32,53],"landscape":[2],"of":[3,31,52],"a":[4,42,77],"problem":[5,44],"is":[6,24],"the":[7,10,29],"relation":[8],"between":[9],"solution":[11],"candidates":[12],"and":[13,34,63,70,84],"their":[14,35],"reproduction":[15],"probability.":[16],"In":[17,37],"order":[18],"to":[19,26,48],"understand":[20,28],"optimization":[21,82],"problems,":[22],"it":[23],"essential":[25],"also":[27],"features":[30],"landscapes":[33],"interaction.":[36],"this":[38,73],"paper":[39],"we":[40,75],"introduce":[41],"model":[43],"that":[45],"allows":[46],"us":[47],"investigate":[49],"many":[50],"characteristics":[51],"landscapes.":[54],"Specifically":[55],"noise,":[56],"affinity":[57],"for":[58,80],"overfitting,":[59],"neutrality,":[60],"epistasis,":[61],"multi-objectivity,":[62],"ruggedness":[64],"can":[65],"be":[66],"independently":[67],"added,":[68],"removed,":[69],"fine-tuned.":[71],"With":[72],"model,":[74],"contribute":[76],"useful":[78],"tool":[79],"assessing":[81],"algorithms":[83],"parameter":[85],"settings.":[86]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}