{"id":"https://openalex.org/W3083505262","doi":"https://doi.org/10.1109/cec48606.2020.9185744","title":"An Improved Discrete Particle Swarm Optimization for Airline Crew Rostering Problem","display_name":"An Improved Discrete Particle Swarm Optimization for Airline Crew Rostering Problem","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083505262","doi":"https://doi.org/10.1109/cec48606.2020.9185744","mag":"3083505262"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","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/A5055171835","display_name":"Ruozhen Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruozhen Zheng","raw_affiliation_strings":["School of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055171835"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.3826,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51003824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9998000264167786,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9998000264167786,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9980000257492065,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7601467370986938},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6756097078323364},{"id":"https://openalex.org/keywords/crew","display_name":"Crew","score":0.6476143598556519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629109263420105},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5941709280014038},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5423887372016907},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5105346441268921},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4495099186897278},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.429951936006546},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.41176629066467285},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3072753846645355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19796693325042725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17651796340942383}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7601467370986938},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6756097078323364},{"id":"https://openalex.org/C2780179797","wikidata":"https://www.wikidata.org/wiki/Q345844","display_name":"Crew","level":2,"score":0.6476143598556519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629109263420105},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5941709280014038},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5423887372016907},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5105346441268921},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4495099186897278},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.429951936006546},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.41176629066467285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3072753846645355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19796693325042725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17651796340942383},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec48606.2020.9185744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"mag:3163548292","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002231535131333","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2007878129","https://openalex.org/W2017339608","https://openalex.org/W2031149701","https://openalex.org/W2110177989","https://openalex.org/W2118906428","https://openalex.org/W2125213524","https://openalex.org/W2128968951","https://openalex.org/W2146373415","https://openalex.org/W2152195021","https://openalex.org/W2543580944","https://openalex.org/W2557810597","https://openalex.org/W2620253406","https://openalex.org/W2994733512"],"related_works":["https://openalex.org/W1230495041","https://openalex.org/W2981238890","https://openalex.org/W3201287350","https://openalex.org/W3204452099","https://openalex.org/W2130466874","https://openalex.org/W258179848","https://openalex.org/W2395067109","https://openalex.org/W1784025083","https://openalex.org/W2885490362","https://openalex.org/W2368774684"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"an":[3],"improved":[4],"Discrete":[5],"Particle":[6],"Swarm":[7],"Optimization":[8],"(IDPSO)":[9],"is":[10,33,48,57,72],"presented":[11],"to":[12,35,49,64,74],"the":[13,76,86,89,100],"Air":[14],"Crew":[15],"Rostering":[16],"Problem":[17],"for":[18],"balancing":[19],"crew":[20],"cost,":[21],"workload":[22],"deviation":[23],"and":[24,46,84,99],"cooperation":[25],"deviation.":[26],"IDPSO,":[28,93],"a":[29,69],"binary":[30],"particle":[31],"coding":[32],"adopted":[34],"generate":[36],"initial":[37],"particles.":[38],"XOR-based":[39],"updating":[40,44],"rules":[41],"used":[42],"in":[43],"velocity":[45],"position":[47],"accelerate":[50],"convergence":[51],"rate.":[52],"A":[53],"selective":[54],"neighbour":[55],"search":[56],"employed":[58],"at":[59],"particles":[60,79],"with":[61],"poor":[62],"performance":[63],"keep":[65],"solutions":[66],"qualified.":[67],"Moreover,":[68],"refreshing":[70],"mechanism":[71],"applied":[73],"overcoming":[75],"problem":[77],"of":[78,88],"trapped":[80],"into":[81],"local":[82],"optimum":[83],"improving":[85],"diversity":[87],"swarm.":[90],"To":[91],"evaluate":[92],"computational":[94],"tests":[95],"have":[96,103],"been":[97],"performed,":[98],"experiment":[101],"results":[102],"proved":[104],"its":[105],"effectiveness.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}