{"id":"https://openalex.org/W7125828022","doi":"https://doi.org/10.3233/faia251636","title":"A Two-Stage Genetic Algorithm-Based Approach for Fuzzy-Constrained Logistics Transportation Order Consolidation","display_name":"A Two-Stage Genetic Algorithm-Based Approach for Fuzzy-Constrained Logistics Transportation Order Consolidation","publication_year":2026,"publication_date":"2026-01-27","ids":{"openalex":"https://openalex.org/W7125828022","doi":"https://doi.org/10.3233/faia251636"},"language":null,"primary_location":{"id":"doi:10.3233/faia251636","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251636","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251636","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123897775","display_name":"Hui-Ling Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I41147446","display_name":"Anshan Normal University","ror":"https://ror.org/04s5wwh39","country_code":"CN","type":"education","lineage":["https://openalex.org/I41147446"]},{"id":"https://openalex.org/I4210165736","display_name":"Hanshan Normal University","ror":"https://ror.org/05tqaz865","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165736"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui-Ling Wu","raw_affiliation_strings":["School of Computer Science, Hanshan Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hanshan Normal University, China","institution_ids":["https://openalex.org/I4210165736","https://openalex.org/I41147446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123985607","display_name":"Xuan-Rui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I41147446","display_name":"Anshan Normal University","ror":"https://ror.org/04s5wwh39","country_code":"CN","type":"education","lineage":["https://openalex.org/I41147446"]},{"id":"https://openalex.org/I4210165736","display_name":"Hanshan Normal University","ror":"https://ror.org/05tqaz865","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165736"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan-Rui Chen","raw_affiliation_strings":["School of Computer Science, Hanshan Normal University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hanshan Normal University, China","institution_ids":["https://openalex.org/I4210165736","https://openalex.org/I41147446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5123897775"],"corresponding_institution_ids":["https://openalex.org/I41147446","https://openalex.org/I4210165736"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.54213727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.6783000230789185,"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":0.6783000230789185,"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":0.0697999969124794,"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/T12176","display_name":"Optimization and Packing Problems","score":0.04650000110268593,"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/genetic-algorithm","display_name":"Genetic algorithm","score":0.6263999938964844},{"id":"https://openalex.org/keywords/consolidation","display_name":"Consolidation (business)","score":0.5976999998092651},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4925999939441681},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.3684000074863434},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.35830000042915344}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6308000087738037},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6263999938964844},{"id":"https://openalex.org/C2776014549","wikidata":"https://www.wikidata.org/wiki/Q3050847","display_name":"Consolidation (business)","level":2,"score":0.5976999998092651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5569000244140625},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4925999939441681},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4163999855518341},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2815999984741211},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.2782000005245209}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251636","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251636","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251636","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251636","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,100],"study":[1,101],"addresses":[2],"the":[3,53],"logistics":[4,111],"order":[5],"consolidation":[6,43],"problem":[7],"with":[8,45],"fuzzy":[9],"constraint":[10,31],"conditions":[11],"by":[12,88],"proposing":[13],"a":[14,95],"classification-consolidation":[15],"two-stage":[16],"iterative":[17,58],"optimization":[18,59],"approach.":[19],"orders":[20],"are":[21],"precisely":[22],"classified":[23],"and":[24,60,77,85,105],"fuzzily":[25],"categorized":[26],"based":[27],"on":[28],"their":[29],"multi-dimensional":[30],"characteristics.":[32],"The":[33],"improved":[34],"genetic":[35,83],"algorithm":[36],"is":[37],"applied":[38],"to":[39,57],"search":[40,87],"for":[41,109],"optimal":[42],"solutions,":[44],"performance":[46],"metrics":[47],"dynamically":[48],"adjusting":[49],"vehicle":[50],"allocations":[51],"in":[52,74],"classification":[54],"stage,":[55],"leading":[56],"ultimately":[61],"reduced":[62],"transportation":[63,91],"mileage.":[64],"Experimental":[65],"results":[66],"demonstrate":[67],"that":[68],"this":[69],"approach":[70],"performs":[71],"exceptionally":[72],"well":[73],"small-,":[75],"medium-,":[76],"large-scale":[78],"tests,":[79],"significantly":[80],"outperforming":[81],"traditional":[82],"algorithms":[84],"depth-first":[86],"reducing":[89],"total":[90],"distance":[92],"while":[93],"maintaining":[94],"consistently":[96],"high":[97],"load":[98],"factor.":[99],"provides":[102],"an":[103],"efficient":[104],"cost-effective":[106],"engineering":[107],"solution":[108],"complex":[110],"scenarios,":[112],"demonstrating":[113],"considerable":[114],"application":[115],"value.":[116]},"counts_by_year":[],"updated_date":"2026-01-28T23:18:48.515280","created_date":"2026-01-28T00:00:00"}