{"id":"https://openalex.org/W4401414813","doi":"https://doi.org/10.1109/cec60901.2024.10612158","title":"Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules","display_name":"Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401414813","doi":"https://doi.org/10.1109/cec60901.2024.10612158"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10612158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","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/A5007219912","display_name":"Junwei Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Junwei Pang","raw_affiliation_strings":["Centre for Data Science and Artificial Intelligence &#x0026; School of Engineering and Computer Science, Victoria University of Wellington,Wellington,New Zealand,PO Box 600"],"affiliations":[{"raw_affiliation_string":"Centre for Data Science and Artificial Intelligence &#x0026; School of Engineering and Computer Science, Victoria University of Wellington,Wellington,New Zealand,PO Box 600","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073282655","display_name":"Yi Mei","orcid":"https://orcid.org/0000-0003-0682-1363"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yi Mei","raw_affiliation_strings":["Centre for Data Science and Artificial Intelligence &#x0026; School of Engineering and Computer Science, Victoria University of Wellington,Wellington,New Zealand,PO Box 600"],"affiliations":[{"raw_affiliation_string":"Centre for Data Science and Artificial Intelligence &#x0026; School of Engineering and Computer Science, Victoria University of Wellington,Wellington,New Zealand,PO Box 600","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["Centre for Data Science and Artificial Intelligence &#x0026; School of Engineering and Computer Science, Victoria University of Wellington,Wellington,New Zealand,PO Box 600"],"affiliations":[{"raw_affiliation_string":"Centre for Data Science and Artificial Intelligence &#x0026; School of Engineering and Computer Science, Victoria University of Wellington,Wellington,New Zealand,PO Box 600","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007219912"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.7247,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73923687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9927999973297119,"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/computer-science","display_name":"Computer science","score":0.6833447813987732},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6816928386688232},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6220136880874634},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4888257384300232},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4623521566390991},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.4486277401447296},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.4268208146095276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4093819856643677},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3439117670059204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32094478607177734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13323813676834106},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.07416054606437683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833447813987732},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6816928386688232},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6220136880874634},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4888257384300232},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4623521566390991},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.4486277401447296},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.4268208146095276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4093819856643677},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3439117670059204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32094478607177734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13323813676834106},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.07416054606437683},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10612158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec60901.2024.10612158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W199024138","https://openalex.org/W1521944472","https://openalex.org/W1588375755","https://openalex.org/W1856614156","https://openalex.org/W1964674593","https://openalex.org/W1966097591","https://openalex.org/W2029481182","https://openalex.org/W2040492000","https://openalex.org/W2046437335","https://openalex.org/W2065295856","https://openalex.org/W2073870328","https://openalex.org/W2122736695","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2567711750","https://openalex.org/W2761291041","https://openalex.org/W3006275750","https://openalex.org/W3023386878","https://openalex.org/W3089152325","https://openalex.org/W3093994124","https://openalex.org/W3175577627","https://openalex.org/W3179807675","https://openalex.org/W3183656069","https://openalex.org/W4221148190","https://openalex.org/W4285024875","https://openalex.org/W4286513993","https://openalex.org/W4312702461","https://openalex.org/W4323896969","https://openalex.org/W4384024759","https://openalex.org/W4388072849","https://openalex.org/W4388878416","https://openalex.org/W4389100928","https://openalex.org/W6600840692"],"related_works":["https://openalex.org/W2967782293","https://openalex.org/W2185192838","https://openalex.org/W2955323683","https://openalex.org/W1564838499","https://openalex.org/W2069961172","https://openalex.org/W26892725","https://openalex.org/W2559484340","https://openalex.org/W2165758382","https://openalex.org/W2146297781","https://openalex.org/W2612484291"],"abstract_inverted_index":{"The":[0],"job":[1],"shop":[2],"scheduling":[3],"problem":[4,10],"is":[5,130],"an":[6],"important":[7],"combinatorial":[8],"optimisation":[9],"in":[11,32,63],"the":[12,40,53,60,75,79,87,94,118,125,134,149,163],"real":[13,33],"world.":[14],"Genetic":[15],"programming":[16,71,114],"hyper-heuristic":[17],"has":[18,45],"been":[19,46],"successfully":[20],"applied":[21],"to":[22,28,52,68,123,132,171],"automatically":[23],"evolve":[24],"effective":[25],"dispatching":[26,167],"rules":[27,44,62,168],"make":[29],"a":[30,110,119],"schedule":[31],"time":[34],"without":[35],"much":[36],"domain":[37],"knowledge.":[38],"However,":[39],"interpretability":[41,80,88,106],"of":[42,55,59,89,146,152,165],"GP-evolved":[43],"largely":[47],"neglected,":[48],"which":[49,116],"could":[50,83],"lead":[51],"lack":[54],"reliability":[56],"and":[57,100,140,160],"trustworthiness":[58],"evolved":[61,90,166],"practice.":[64],"Current":[65],"work":[66],"related":[67],"interpretable":[69],"genetic":[70,113],"algorithms":[72],"primarily":[73],"uses":[74],"model":[76],"size":[77],"as":[78,103],"metric.":[81],"This":[82],"not":[84],"fully":[85],"reflect":[86],"rules.":[91],"To":[92],"overcome":[93],"limitation,":[95],"we":[96],"employ":[97],"structural":[98,138],"complexity":[99,139],"dimension":[101,141],"gap":[102,142],"more":[104],"comprehensive":[105],"measures.":[107],"In":[108],"addition,":[109],"new":[111],"multi-objective":[112],"algorithm,":[115],"applies":[117],"non-dominated":[120],"sorting":[121],"method":[122],"solve":[124],"objective":[126],"selection":[127],"bias":[128],"issue,":[129],"proposed":[131,154],"optimise":[133],"makespan":[135],"(scheduling":[136],"objective),":[137],"simultaneously.":[143],"A":[144],"variety":[145],"experiments":[147],"demonstrates":[148],"competitive":[150],"performance":[151],"our":[153],"algorithm":[155],"based":[156],"on":[157],"effectiveness,":[158],"convergence":[159],"diversity.":[161],"Furthermore,":[162],"semantics":[164],"are":[169],"analysed":[170],"show":[172],"their":[173],"better":[174],"interpretability.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
