{"id":"https://openalex.org/W2029965339","doi":"https://doi.org/10.1145/2598394.2598491","title":"Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing","display_name":"Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2029965339","doi":"https://doi.org/10.1145/2598394.2598491","mag":"2029965339"},"language":"en","primary_location":{"id":"doi:10.1145/2598394.2598491","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2598394.2598491","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 Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002465837","display_name":"William La Cava","orcid":"https://orcid.org/0000-0002-1332-2960"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William La Cava","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044142640","display_name":"Lee Spector","orcid":"https://orcid.org/0000-0001-5299-4797"},"institutions":[{"id":"https://openalex.org/I47631775","display_name":"Hampshire College","ror":"https://ror.org/03pe1mm80","country_code":"US","type":"education","lineage":["https://openalex.org/I47631775"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lee Spector","raw_affiliation_strings":["Hampshire College, Amherst, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hampshire College, Amherst, MA, USA","institution_ids":["https://openalex.org/I47631775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023057874","display_name":"Kourosh Danai","orcid":"https://orcid.org/0000-0003-4656-3194"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kourosh Danai","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078300862","display_name":"Matthew A. Lackner","orcid":"https://orcid.org/0009-0001-9736-2598"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Lackner","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA, USA","University Of Massachusetts Amherst, Amherst, MA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University Of Massachusetts Amherst, Amherst, MA, USA#TAB#","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4473,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84043966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"142"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.992900013923645,"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":0.9855999946594238,"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/genetic-programming","display_name":"Genetic programming","score":0.8056211471557617},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.7958405017852783},{"id":"https://openalex.org/keywords/epigenetics","display_name":"Epigenetics","score":0.6691765189170837},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.569170355796814},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5002384185791016},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.4930133521556854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45685651898384094},{"id":"https://openalex.org/keywords/coevolution","display_name":"Coevolution","score":0.44135862588882446},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4369387626647949},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4245818257331848},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3770195245742798},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3288065791130066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3224828839302063},{"id":"https://openalex.org/keywords/evolutionary-biology","display_name":"Evolutionary biology","score":0.26166558265686035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24103286862373352},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.23960712552070618},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.06901922821998596}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.8056211471557617},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.7958405017852783},{"id":"https://openalex.org/C41091548","wikidata":"https://www.wikidata.org/wiki/Q26939","display_name":"Epigenetics","level":3,"score":0.6691765189170837},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.569170355796814},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5002384185791016},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.4930133521556854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45685651898384094},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.44135862588882446},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4369387626647949},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4245818257331848},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3770195245742798},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3288065791130066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3224828839302063},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.26166558265686035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24103286862373352},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.23960712552070618},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.06901922821998596},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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:10.1145/2598394.2598491","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2598394.2598491","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 Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332749","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1493611775","https://openalex.org/W1506853907","https://openalex.org/W1968407066","https://openalex.org/W2015472341","https://openalex.org/W2036259226","https://openalex.org/W2061818022","https://openalex.org/W2078028724","https://openalex.org/W2081403346","https://openalex.org/W2082031730","https://openalex.org/W2087819910","https://openalex.org/W2146168695","https://openalex.org/W2170654934","https://openalex.org/W2279435443"],"related_works":["https://openalex.org/W2381504162","https://openalex.org/W1567571923","https://openalex.org/W2472646430","https://openalex.org/W2968285896","https://openalex.org/W2610450612","https://openalex.org/W2549153708","https://openalex.org/W2897801744","https://openalex.org/W2147355282","https://openalex.org/W2394133867","https://openalex.org/W1662819506"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3],"method":[4],"of":[5,32,55,76],"solving":[6],"the":[7,25,29,33,44,49],"symbolic":[8],"regression":[9],"problem":[10],"using":[11],"developmental":[12],"linear":[13],"genetic":[14],"programming":[15],"(DLGP)":[16],"with":[17,43,72],"an":[18],"epigenetic":[19,30,36],"hill":[20],"climber":[21],"(EHC).":[22],"We":[23],"propose":[24],"EHC":[26,50],"for":[27],"optimizing":[28],"properties":[31],"genotype.":[34],"The":[35],"characteristics":[37],"are":[38],"then":[39],"inherited":[40],"through":[41,53],"coevolution":[42],"population.":[45],"Results":[46],"reveal":[47],"that":[48],"improves":[51],"performance":[52],"maintenance":[54],"smaller":[56],"expressed":[57],"program":[58],"sizes.":[59],"For":[60],"some":[61],"problems":[62],"it":[63],"produces":[64],"more":[65],"successful":[66],"runs":[67],"while":[68],"remaining":[69],"essentially":[70],"cost-neutral":[71],"respect":[73],"to":[74],"number":[75],"fitness":[77],"evaluations.":[78]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}