{"id":"https://openalex.org/W2552778694","doi":"https://doi.org/10.1109/cec.2016.7743889","title":"A genetic algorithm for a workforce scheduling and routing problem","display_name":"A genetic algorithm for a workforce scheduling and routing problem","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2552778694","doi":"https://doi.org/10.1109/cec.2016.7743889","mag":"2552778694"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7743889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.nottingham.ac.uk/35583/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016097715","display_name":"Haneen Algethami","orcid":"https://orcid.org/0000-0002-7582-4480"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Haneen Algethami","raw_affiliation_strings":["School of Computer Science, University of Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024741114","display_name":"Rodrigo Lankaites Pinheiro","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rodrigo Lankaites Pinheiro","raw_affiliation_strings":["School of Computer Science, University of Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037965570","display_name":"Dario Landa-Silva","orcid":"https://orcid.org/0000-0002-9499-6827"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dario Landa-Silva","raw_affiliation_strings":["School of Computer Science, University of Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016097715"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":4.4733,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94644601,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"927","last_page":"934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12177","display_name":"Resource-Constrained Project Scheduling","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6786408424377441},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5988811254501343},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5813555121421814},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5559240579605103},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5537301301956177},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.5523619055747986},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5464795827865601},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.44866782426834106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16276639699935913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1598857343196869},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.123700350522995},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0870945155620575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786408424377441},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5988811254501343},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5813555121421814},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5559240579605103},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5537301301956177},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.5523619055747986},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5464795827865601},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.44866782426834106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16276639699935913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1598857343196869},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.123700350522995},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0870945155620575},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2016.7743889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7743889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.nottingham.ac.uk:35583","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/35583/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402013","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:nottingham-repository.worktribe.com:799547","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/799547","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:eprints.nottingham.ac.uk:35583","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/35583/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402013","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1131913260","https://openalex.org/W1574175429","https://openalex.org/W1950482745","https://openalex.org/W1964880423","https://openalex.org/W1990520230","https://openalex.org/W1995813347","https://openalex.org/W2016959770","https://openalex.org/W2020590524","https://openalex.org/W2043932195","https://openalex.org/W2057285547","https://openalex.org/W2064104291","https://openalex.org/W2138769212","https://openalex.org/W2155207871","https://openalex.org/W2158814833","https://openalex.org/W2310969197","https://openalex.org/W2331190835","https://openalex.org/W2343814109","https://openalex.org/W2498443639","https://openalex.org/W3125132395","https://openalex.org/W4249208652","https://openalex.org/W4297671794","https://openalex.org/W6627217071","https://openalex.org/W6702442423","https://openalex.org/W6724338981"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W2107725657","https://openalex.org/W2112121444","https://openalex.org/W2509452605","https://openalex.org/W3112689649","https://openalex.org/W2148608945","https://openalex.org/W2101020326","https://openalex.org/W2808535280","https://openalex.org/W3122821775","https://openalex.org/W3204654320"],"abstract_inverted_index":{"The":[0,53,67],"Workforce":[1],"Scheduling":[2],"and":[3,24,116],"Routing":[4],"Problem":[5],"refers":[6],"to":[7,12,29,43,61,77,97],"the":[8,31,63,78,92,98,106],"assignment":[9],"of":[10,47,50,65,69,88],"personnel":[11],"visits":[13],"across":[14],"various":[15,99],"geographical":[16],"locations.":[17],"Solving":[18],"this":[19,51,124],"problem":[20,100],"demands":[21],"tackling":[22],"scheduling":[23],"routing":[25],"constraints":[26],"while":[27],"aiming":[28],"minimise":[30],"total":[32],"operational":[33],"cost.":[34],"This":[35,82],"paper":[36,83],"presents":[37,85],"a":[38,45,57,86],"Genetic":[39],"Algorithm":[40],"(GA)":[41],"tailored":[42,79,111],"tackle":[44],"set":[46],"real-world":[48],"instances":[49,101],"problem.":[52,126],"proposed":[54,93,107],"GA":[55,94],"uses":[56],"customised":[58],"chromosome":[59,80],"representation":[60],"maintain":[62],"feasibility":[64],"solutions.":[66],"performance":[68],"several":[70],"genetic":[71],"operators":[72],"is":[73,117],"investigated":[74],"in":[75,95],"relation":[76,96],"representation.":[81],"also":[84],"study":[87],"parameter":[89],"settings":[90],"for":[91,123],"considered.":[102],"Results":[103],"show":[104],"that":[105],"GA,":[108],"which":[109],"incorporates":[110],"components,":[112],"performs":[113],"very":[114],"well":[115],"an":[118],"effective":[119],"baseline":[120],"evolutionary":[121],"algorithm":[122],"difficult":[125]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}