{"id":"https://openalex.org/W4409413880","doi":"https://doi.org/10.1016/j.ecoinf.2025.103131","title":"Explainable models for predicting crab weight based on genetic programming","display_name":"Explainable models for predicting crab weight based on genetic programming","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4409413880","doi":"https://doi.org/10.1016/j.ecoinf.2025.103131"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2025.103131","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2025.103131","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.ecoinf.2025.103131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026461116","display_name":"Tao Shi","orcid":"https://orcid.org/0000-0003-1788-6875"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Shi","raw_affiliation_strings":["Science and Information College, Qingdao Agricultural University, Qingdao, 266109, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Science and Information College, Qingdao Agricultural University, Qingdao, 266109, Shandong, China","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113429547","display_name":"Lingcheng Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingcheng Meng","raw_affiliation_strings":["College of Geoscience and Survey Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China"],"affiliations":[{"raw_affiliation_string":"College of Geoscience and Survey Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003198124","display_name":"Limiao Deng","orcid":"https://orcid.org/0000-0003-1878-3034"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Limiao Deng","raw_affiliation_strings":["Science and Information College, Qingdao Agricultural University, Qingdao, 266109, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Science and Information College, Qingdao Agricultural University, Qingdao, 266109, Shandong, China","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031389547","display_name":"Juan Li","orcid":"https://orcid.org/0000-0002-8639-6100"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, 266109, Shandong, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, 266109, Shandong, China","institution_ids":["https://openalex.org/I146773158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003198124"],"corresponding_institution_ids":["https://openalex.org/I146773158"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":7.0705,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96267906,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"88","issue":null,"first_page":"103131","last_page":"103131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9193000197410583,"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":0.7158893346786499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5084325671195984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37053006887435913}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7158893346786499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5084325671195984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37053006887435913}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.ecoinf.2025.103131","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2025.103131","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bdf45e2ffde74fdca02a92b649ed1c74","is_oa":true,"landing_page_url":"https://doaj.org/article/bdf45e2ffde74fdca02a92b649ed1c74","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ecological Informatics, Vol 88, Iss , Pp 103131- (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2025.103131","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2025.103131","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G2449111615","display_name":null,"funder_award_id":"XJ2023000804","funder_id":"https://openalex.org/F4320313890","funder_display_name":"Qingdao Agricultural University"},{"id":"https://openalex.org/G288905939","display_name":null,"funder_award_id":"32073029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4960092803","display_name":null,"funder_award_id":"008/1622001","funder_id":"https://openalex.org/F4320336599","funder_display_name":"Qingchuang Talents Induction Program of Shandong Higher Education Institution"}],"funders":[{"id":"https://openalex.org/F4320313890","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336599","display_name":"Qingchuang Talents Induction Program of Shandong Higher Education Institution","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":128,"referenced_works":["https://openalex.org/W418993363","https://openalex.org/W1017470236","https://openalex.org/W1483736078","https://openalex.org/W1728842521","https://openalex.org/W1842084853","https://openalex.org/W1907650069","https://openalex.org/W1966097591","https://openalex.org/W1978981184","https://openalex.org/W1980316648","https://openalex.org/W1987401992","https://openalex.org/W1995564916","https://openalex.org/W2012974156","https://openalex.org/W2013395889","https://openalex.org/W2019458410","https://openalex.org/W2021212676","https://openalex.org/W2027282853","https://openalex.org/W2030783740","https://openalex.org/W2035984384","https://openalex.org/W2040492000","https://openalex.org/W2044040070","https://openalex.org/W2059118502","https://openalex.org/W2078526686","https://openalex.org/W2080152519","https://openalex.org/W2080538119","https://openalex.org/W2083278075","https://openalex.org/W2091427608","https://openalex.org/W2100604298","https://openalex.org/W2109042184","https://openalex.org/W2117295674","https://openalex.org/W2118490474","https://openalex.org/W2121044470","https://openalex.org/W2121162457","https://openalex.org/W2131634465","https://openalex.org/W2135973148","https://openalex.org/W2146152315","https://openalex.org/W2149697774","https://openalex.org/W2179688852","https://openalex.org/W2186979937","https://openalex.org/W2187125379","https://openalex.org/W2241640433","https://openalex.org/W2287992427","https://openalex.org/W2303036806","https://openalex.org/W2327585496","https://openalex.org/W2337018509","https://openalex.org/W2341201359","https://openalex.org/W2405527140","https://openalex.org/W2531316618","https://openalex.org/W2595303237","https://openalex.org/W2632684590","https://openalex.org/W2725100189","https://openalex.org/W2743885987","https://openalex.org/W2776986843","https://openalex.org/W2792835082","https://openalex.org/W2899766107","https://openalex.org/W2915910067","https://openalex.org/W2948298421","https://openalex.org/W2959259755","https://openalex.org/W2962772482","https://openalex.org/W2981731882","https://openalex.org/W2997839937","https://openalex.org/W2999455383","https://openalex.org/W3008695158","https://openalex.org/W3020578323","https://openalex.org/W3047343195","https://openalex.org/W3093345940","https://openalex.org/W3105821597","https://openalex.org/W3111961609","https://openalex.org/W3126260096","https://openalex.org/W3126829315","https://openalex.org/W3130456612","https://openalex.org/W3157274116","https://openalex.org/W3174369737","https://openalex.org/W3175110185","https://openalex.org/W3175804378","https://openalex.org/W3187957424","https://openalex.org/W3189142631","https://openalex.org/W3199938161","https://openalex.org/W3200075471","https://openalex.org/W3204204887","https://openalex.org/W3205716235","https://openalex.org/W3210359609","https://openalex.org/W3213383296","https://openalex.org/W4226065182","https://openalex.org/W4285647942","https://openalex.org/W4292933845","https://openalex.org/W4296099567","https://openalex.org/W4298283679","https://openalex.org/W4312702461","https://openalex.org/W4320477670","https://openalex.org/W4381113395","https://openalex.org/W4385766743","https://openalex.org/W4385776934","https://openalex.org/W4386052744","https://openalex.org/W4386142022","https://openalex.org/W4387496248","https://openalex.org/W4392543704","https://openalex.org/W4394865902","https://openalex.org/W4401461432","https://openalex.org/W4401477711","https://openalex.org/W4402115167","https://openalex.org/W4402435852","https://openalex.org/W4402579073","https://openalex.org/W4403325234","https://openalex.org/W4404454350","https://openalex.org/W4404802666","https://openalex.org/W4404850967","https://openalex.org/W4408129686","https://openalex.org/W4409284130","https://openalex.org/W6606023591","https://openalex.org/W6626511040","https://openalex.org/W6648585694","https://openalex.org/W6676279030","https://openalex.org/W6677981039","https://openalex.org/W6678230397","https://openalex.org/W6686813526","https://openalex.org/W6687033690","https://openalex.org/W6690481562","https://openalex.org/W6747014953","https://openalex.org/W6768440885","https://openalex.org/W6769581332","https://openalex.org/W6772399286","https://openalex.org/W6784362439","https://openalex.org/W6789788313","https://openalex.org/W6799477290","https://openalex.org/W6805230630","https://openalex.org/W6871866956","https://openalex.org/W6945008991","https://openalex.org/W7046185359"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Reliable":[0],"weight":[1,27,60,115,124],"prediction":[2,150],"plays":[3],"an":[4,38],"important":[5,145],"role":[6],"in":[7,127,168],"commercial":[8],"transactions":[9],"and":[10,28,61,118,171,192,198,211,223],"population":[11],"management":[12,170],"of":[13,31,65,78,93,116,125,129,131,138,185,221],"crabs.":[14,32,66,79],"Existing":[15],"research":[16],"usually":[17],"used":[18],"predefined":[19],"models":[20,156],"to":[21,46,54,134,147,181],"explain":[22],"the":[23,26,29,59,62,98,103,107,114,122,135,149,154],"relationship":[24],"between":[25,58],"length":[30],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"effective":[39],"regression":[40,177],"method":[41,69,178],"using":[42],"genetic":[43],"programming":[44],"(GP)":[45],"build":[47],"explainable":[48],"models,":[49],"which":[50,161],"include":[51],"more":[52,144],"features":[53,64,146],"explore":[55],"potential":[56,159],"relationships":[57],"physical":[63],"The":[67,80],"GP-based":[68,175],"has":[70],"been":[71],"evaluated":[72],"on":[73,106],"a":[74],"publicly":[75],"available":[76],"dataset":[77],"experimental":[81],"results":[82],"were":[83],"compared":[84],"with":[85],"several":[86],"baseline":[87,104],"methods":[88,105,194],"for":[89,112,120,165],"predicting":[90,113,121],"two":[91,183],"kinds":[92],"crab":[94,186],"weights.":[95],"GP":[96,141,189,218],"shows":[97],"best":[99],"performance":[100],"among":[101],"all":[102],"test":[108],"set,":[109],"i.e.,":[110],"90.8%":[111],"crabs":[117,126],"81.3%":[119],"shucked":[123],"terms":[128],"coefficient":[130],"determination.":[132],"Thanks":[133],"explicit":[136],"ability":[137],"feature":[139,203],"selection,":[140],"can":[142,157],"select":[143],"improve":[148],"performance.":[151],"More":[152],"importantly,":[153],"generated":[155],"provide":[158],"interpretability,":[160],"is":[162,179,206],"particularly":[163],"valuable":[164],"domain":[166],"experts":[167],"fisheries":[169],"ecological":[172],"research.":[173],"\u2022":[174,188,201,214],"symbolic":[176],"proposed":[180],"predict":[182],"types":[184],"weight.":[187],"outperforms":[190],"traditional":[191],"ML":[193],"such":[195],"as":[196],"ANN":[197],"random":[199],"forest.":[200],"GP\u2019s":[202],"selection":[204],"capability":[205],"validated":[207],"by":[208],"Sobol":[209],"analysis":[210],"PFI":[212],"analysis.":[213],"Models":[215],"derived":[216],"from":[217],"have":[219],"advantages":[220],"interpretability":[222],"transparency.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
