{"id":"https://openalex.org/W4390753325","doi":"https://doi.org/10.1080/00207543.2023.2301044","title":"A cooperative coevolutionary hyper-heuristic approach to solve lot-sizing and job shop scheduling problems using genetic programming","display_name":"A cooperative coevolutionary hyper-heuristic approach to solve lot-sizing and job shop scheduling problems using genetic programming","publication_year":2024,"publication_date":"2024-01-11","ids":{"openalex":"https://openalex.org/W4390753325","doi":"https://doi.org/10.1080/00207543.2023.2301044"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2023.2301044","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2023.2301044","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-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/A5071670520","display_name":"Yannik Zeitr\u00e4g","orcid":"https://orcid.org/0000-0003-0890-2028"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Yannik Zeitr\u00e4g","raw_affiliation_strings":["CEGIST, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEGIST, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024152051","display_name":"Jos\u00e9 Rui Figueira","orcid":"https://orcid.org/0000-0001-9822-1167"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Rui Figueira","raw_affiliation_strings":["CEGIST, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEGIST, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021014071","display_name":"Gon\u00e7alo Figueira","orcid":"https://orcid.org/0000-0001-6696-824X"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Gon\u00e7alo Figueira","raw_affiliation_strings":["INESC-TEC, Faculty of Engineering, University of Porto, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC-TEC, Faculty of Engineering, University of Porto, Porto, Portugal","institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071670520"],"corresponding_institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"],"apc_list":null,"apc_paid":null,"fwci":5.0355,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95370207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"62","issue":"16","first_page":"5850","last_page":"5877"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9952999949455261,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.989300012588501,"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/sizing","display_name":"Sizing","score":0.6743900179862976},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6470521688461304},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6394218802452087},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6367749571800232},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6278054714202881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249403953552246},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4968571960926056},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4304676353931427},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.4127427935600281},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.34130051732063293},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3385530114173889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20555463433265686},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17323657870292664},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.169194757938385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16579681634902954}],"concepts":[{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.6743900179862976},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6470521688461304},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6394218802452087},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6367749571800232},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6278054714202881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249403953552246},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4968571960926056},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4304676353931427},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.4127427935600281},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.34130051732063293},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3385530114173889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20555463433265686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17323657870292664},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.169194757938385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16579681634902954},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2023.2301044","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2023.2301044","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:62:y:2024:i:16:p:5850-5877","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2023.2301044","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G538135129","display_name":null,"funder_award_id":"BD/05314/2021","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G7744392098","display_name":"DOME: M\u00e9todos de Optimiza\u00e7\u00e3o Discreta para Gest\u00e3o Energ\u00e9tica","funder_award_id":"PTDC/CCI-COM/31198/2017","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W177097005","https://openalex.org/W1544796354","https://openalex.org/W1566877019","https://openalex.org/W1576818901","https://openalex.org/W1584408036","https://openalex.org/W1668207500","https://openalex.org/W1896927632","https://openalex.org/W1922731057","https://openalex.org/W1965429644","https://openalex.org/W1993953951","https://openalex.org/W1997722319","https://openalex.org/W1998510734","https://openalex.org/W1999489381","https://openalex.org/W2008873845","https://openalex.org/W2014034914","https://openalex.org/W2016150561","https://openalex.org/W2022394275","https://openalex.org/W2023002456","https://openalex.org/W2025851401","https://openalex.org/W2040610035","https://openalex.org/W2050570216","https://openalex.org/W2054271356","https://openalex.org/W2055073286","https://openalex.org/W2060019860","https://openalex.org/W2071658580","https://openalex.org/W2072395453","https://openalex.org/W2073870328","https://openalex.org/W2075040992","https://openalex.org/W2083962938","https://openalex.org/W2088555926","https://openalex.org/W2088865390","https://openalex.org/W2102837457","https://openalex.org/W2106025020","https://openalex.org/W2132789253","https://openalex.org/W2137143026","https://openalex.org/W2142771086","https://openalex.org/W2160550955","https://openalex.org/W2164271762","https://openalex.org/W2166858694","https://openalex.org/W2169670831","https://openalex.org/W2245687007","https://openalex.org/W2275596639","https://openalex.org/W2316529277","https://openalex.org/W2335724310","https://openalex.org/W2567294610","https://openalex.org/W2582783916","https://openalex.org/W2584141361","https://openalex.org/W2590959390","https://openalex.org/W2770310616","https://openalex.org/W2792769389","https://openalex.org/W2801795555","https://openalex.org/W2946098546","https://openalex.org/W2946858898","https://openalex.org/W2968953735","https://openalex.org/W2993037870","https://openalex.org/W3036035835","https://openalex.org/W3197124025","https://openalex.org/W4224949212","https://openalex.org/W4231085582","https://openalex.org/W4235967258","https://openalex.org/W4256185527","https://openalex.org/W4286268189","https://openalex.org/W4293147310","https://openalex.org/W4313255228","https://openalex.org/W4367393917"],"related_works":["https://openalex.org/W2185192838","https://openalex.org/W2967782293","https://openalex.org/W2955323683","https://openalex.org/W1564838499","https://openalex.org/W2069961172","https://openalex.org/W2559484340","https://openalex.org/W26892725","https://openalex.org/W1971939018","https://openalex.org/W2146297781","https://openalex.org/W2612484291"],"abstract_inverted_index":{"Lot-sizing":[0],"and":[1,23,64,109,133],"scheduling":[2,107],"in":[3,14,182],"a":[4,9,55,79,118,128,159,183,187],"job":[5,105],"shop":[6,106,131],"environment":[7],"is":[8,20,140],"fundamental":[10],"problem":[11,19],"that":[12,136],"appears":[13],"many":[15,30],"industrial":[16],"settings.":[17],"The":[18,69,168],"very":[21],"complex,":[22],"solutions":[24,50,144,179],"are":[25,43,180],"often":[26],"needed":[27],"fast.":[28],"Although":[29],"solution":[31],"methods":[32],"have":[33],"been":[34,166],"proposed,":[35],"with":[36,145],"increasingly":[37],"better":[38],"results,":[39],"their":[40],"computational":[41],"times":[42],"not":[44],"suitable":[45],"for":[46],"decision-makers":[47],"who":[48],"want":[49],"instantly.":[51],"Therefore,":[52],"we":[53],"propose":[54],"novel":[56],"greedy":[57],"heuristic":[58,139],"to":[59,100,142,149,171,176],"efficiently":[60],"generate":[61],"production":[62],"plans":[63],"schedules":[65,85],"of":[66,72,78,104,113,120,130,151,186,190,193],"good":[67],"quality.":[68],"main":[70],"innovation":[71],"our":[73],"approach":[74],"represents":[75],"the":[76,102,111,114,124,137,156,191,194],"incorporation":[77],"simulation-based":[80],"technique,":[81],"which":[82],"directly":[83],"generates":[84],"while":[86],"simultaneously":[87],"determining":[88],"lot":[89],"sizes.":[90],"By":[91],"utilising":[92],"priority":[93],"rules,":[94],"this":[95],"unique":[96],"feature":[97],"enables":[98],"us":[99],"address":[101],"complexity":[103],"environments":[108],"ensures":[110],"feasibility":[112],"resulting":[115],"schedules.":[116],"Using":[117],"selection":[119],"well-known":[121],"rules":[122],"from":[123],"literature,":[125],"experiments":[126],"on":[127],"variety":[129],"configurations":[132],"complexities":[134],"showed":[135],"proposed":[138,157],"able":[141],"obtain":[143],"an":[146],"average":[147,169],"gap":[148,170],"Cplex":[150,172],"4.12%.":[152],"To":[153],"further":[154],"improve":[155],"heuristic,":[158],"cooperative":[160],"coevolutionary":[161],"genetic":[162],"programming-based":[163],"hyper-heuristic":[164],"has":[165],"developed.":[167],"was":[173],"reduced":[174],"up":[175],"1.92%.":[177],"These":[178],"generated":[181],"small":[184],"fraction":[185],"second,":[188],"regardless":[189],"size":[192],"instance.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}