{"id":"https://openalex.org/W2902127550","doi":"https://doi.org/10.1080/00207543.2018.1550270","title":"Solving steel coil ship stowage-planning problem using hybrid differential evolution","display_name":"Solving steel coil ship stowage-planning problem using hybrid differential evolution","publication_year":2018,"publication_date":"2018-11-29","ids":{"openalex":"https://openalex.org/W2902127550","doi":"https://doi.org/10.1080/00207543.2018.1550270","mag":"2902127550"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2018.1550270","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2018.1550270","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/A5101755997","display_name":"Yun Dong","orcid":"https://orcid.org/0000-0001-6909-7777"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Dong","raw_affiliation_strings":["Liaoning Engineering Laboratory of Operations Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, 110819, China","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Engineering Laboratory of Operations Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113954149","display_name":"Ren Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Zhao","raw_affiliation_strings":["Institute of Industrial and Systems Engineering, Northeastern University, Shenyang, 110819, China","Liaoning Key Laboratory of Manufacturing System and Logistics, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial and Systems Engineering, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Liaoning Key Laboratory of Manufacturing System and Logistics, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101755997"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.9732,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8184465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"57","issue":"18","first_page":"5767","last_page":"5786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9986000061035156,"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/T11223","display_name":"Maritime Ports and Logistics","score":0.9986000061035156,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9977999925613403,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9965999722480774,"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/stowage","display_name":"Stowage","score":0.8840631246566772},{"id":"https://openalex.org/keywords/electromagnetic-coil","display_name":"Electromagnetic coil","score":0.6130024194717407},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6085985898971558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.5420923233032227},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.529920756816864},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.48693978786468506},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.47984904050827026},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4491998553276062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3264263868331909},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2017720341682434},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.17861366271972656}],"concepts":[{"id":"https://openalex.org/C2779954943","wikidata":"https://www.wikidata.org/wiki/Q65088985","display_name":"Stowage","level":2,"score":0.8840631246566772},{"id":"https://openalex.org/C30403606","wikidata":"https://www.wikidata.org/wiki/Q2981904","display_name":"Electromagnetic coil","level":2,"score":0.6130024194717407},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6085985898971558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5420923233032227},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.529920756816864},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.48693978786468506},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47984904050827026},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4491998553276062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3264263868331909},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2017720341682434},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.17861366271972656},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2018.1550270","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2018.1550270","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:57:y:2019:i:18:p:5767-5786","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2018.1550270","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":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G2311391187","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G364181133","display_name":null,"funder_award_id":"2016YFB0901900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1502317716","https://openalex.org/W1525268375","https://openalex.org/W1595159159","https://openalex.org/W1967408645","https://openalex.org/W1969041245","https://openalex.org/W1982860391","https://openalex.org/W1996989068","https://openalex.org/W1998761629","https://openalex.org/W2015691093","https://openalex.org/W2016114852","https://openalex.org/W2019545614","https://openalex.org/W2041154427","https://openalex.org/W2044432556","https://openalex.org/W2049402584","https://openalex.org/W2059566833","https://openalex.org/W2078381983","https://openalex.org/W2116853369","https://openalex.org/W2128244994","https://openalex.org/W2152028815","https://openalex.org/W2156194072","https://openalex.org/W2179900524","https://openalex.org/W2272065637","https://openalex.org/W2280289566","https://openalex.org/W2343421578","https://openalex.org/W2776445179"],"related_works":["https://openalex.org/W4210558925","https://openalex.org/W2375364776","https://openalex.org/W2369731428","https://openalex.org/W2348159970","https://openalex.org/W1560527671","https://openalex.org/W2385180346","https://openalex.org/W2362052403","https://openalex.org/W3092849523","https://openalex.org/W2945327490","https://openalex.org/W2011675579"],"abstract_inverted_index":{"As":[0],"an":[1,11,79,193],"important":[2],"optimisation":[3,48],"problem":[4,21,37,56],"in":[5,73],"the":[6,16,25,29,36,41,47,50,55,60,67,70,74,86,90,93,97,102,109,113,135,138,141,164,184,198],"finished":[7],"product":[8],"terminal":[9],"of":[10,62,66,96,108,123],"iron":[12],"and":[13,72,92,105,127,143,154,169],"steel":[14,17],"enterprise,":[15],"coil":[18,87],"ship":[19,91],"stowage-planning":[20],"is":[22,57,82,131,192],"to":[23,84,133,137,161,170,182],"determine":[24],"stowing":[26,103],"locations":[27,104,146],"for":[28,49,147,174,196],"planned":[30],"coils":[31,136,165],"on":[32,46,69,89,140],"a":[33,116,124,128,150,155],"ship.":[34,51],"Although":[35],"has":[38,43],"attracted":[39],"attention,":[40],"research":[42],"focused":[44],"only":[45],"In":[52],"this":[53,77],"study,":[54],"investigated":[58],"from":[59],"view":[61],"improving":[63],"operation":[64],"efficiency":[65],"cranes":[68,99],"quay":[71],"warehouse.":[75],"For":[76],"purpose,":[78],"integer-programming":[80],"model":[81],"established":[83],"minimise":[85],"dispersion":[88],"moving":[94],"distance":[95],"warehouse":[98],"by":[100],"determining":[101],"loading":[106],"sequence":[107],"coils.":[110],"To":[111],"improve":[112],"solution":[114],"efficiency,":[115],"two-level":[117],"hybrid":[118],"differential":[119],"evolution":[120],"(TLDE)":[121],"composed":[122],"continuous":[125],"DE":[126,130],"discrete":[129],"designed":[132],"assign":[134],"rows":[139],"ship,":[142],"then":[144],"allocate":[145],"them.":[148],"Further,":[149],"subpopulation-based":[151],"local":[152],"search":[153],"human":[156],"experience-based":[157],"heuristic":[158],"are":[159,180],"developed":[160],"further":[162],"adjust":[163],"within":[166],"each":[167],"row":[168],"produce":[171],"initial":[172],"population":[173],"TLDE,":[175],"respectively.":[176],"Extensive":[177],"comparison":[178],"experiments":[179],"performed":[181],"demonstrate":[183],"proposed":[185],"algorithm.":[186],"Numerical":[187],"results":[188],"confirm":[189],"that":[190],"TLDE":[191],"efficient":[194],"method":[195],"solving":[197],"SSPP.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
