{"id":"https://openalex.org/W2548999408","doi":"https://doi.org/10.1109/gol.2016.7731673","title":"A hybrid genetic algorithm for the static and dynamic vehicle routing problem with soft time windows","display_name":"A hybrid genetic algorithm for the static and dynamic vehicle routing problem with soft time windows","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2548999408","doi":"https://doi.org/10.1109/gol.2016.7731673","mag":"2548999408"},"language":"en","primary_location":{"id":"doi:10.1109/gol.2016.7731673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gol.2016.7731673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 3rd International Conference on Logistics Operations Management (GOL)","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/A5022523874","display_name":"Bouziyane Bouchra","orcid":null},"institutions":[{"id":"https://openalex.org/I240042149","display_name":"Abdelmalek Essa\u00e2di University","ror":"https://ror.org/03c4shz64","country_code":"MA","type":"education","lineage":["https://openalex.org/I240042149"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Bouziyane Bouchra","raw_affiliation_strings":["National school of applied sciences, Abdelmalek Essaadi University, Tetuan"],"affiliations":[{"raw_affiliation_string":"National school of applied sciences, Abdelmalek Essaadi University, Tetuan","institution_ids":["https://openalex.org/I240042149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043319136","display_name":"Btissam Dkhissi","orcid":null},"institutions":[{"id":"https://openalex.org/I240042149","display_name":"Abdelmalek Essa\u00e2di University","ror":"https://ror.org/03c4shz64","country_code":"MA","type":"education","lineage":["https://openalex.org/I240042149"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Dkhissi Btissam","raw_affiliation_strings":["National school of applied sciences, Abdelmalek Essaadi University, Tetuan"],"affiliations":[{"raw_affiliation_string":"National school of applied sciences, Abdelmalek Essaadi University, Tetuan","institution_ids":["https://openalex.org/I240042149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061596779","display_name":"Mohammad Cherkaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I240042149","display_name":"Abdelmalek Essa\u00e2di University","ror":"https://ror.org/03c4shz64","country_code":"MA","type":"education","lineage":["https://openalex.org/I240042149"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Cherkaoui Mohammad","raw_affiliation_strings":["National school of applied sciences, Abdelmalek Essaadi University, Tetuan"],"affiliations":[{"raw_affiliation_string":"National school of applied sciences, Abdelmalek Essaadi University, Tetuan","institution_ids":["https://openalex.org/I240042149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022523874"],"corresponding_institution_ids":["https://openalex.org/I240042149"],"apc_list":null,"apc_paid":null,"fwci":2.0892,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8875448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","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/T10567","display_name":"Vehicle Routing Optimization Methods","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/T11942","display_name":"Transportation and Mobility Innovations","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.980400025844574,"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/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.7961951494216919},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7434600591659546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7236484885215759},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.624224841594696},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.545087993144989},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49209898710250854},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4829789698123932},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4470788240432739},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.43551182746887207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36557477712631226},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32937484979629517},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13613161444664001},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12921223044395447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1111823320388794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10724297165870667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07713502645492554}],"concepts":[{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.7961951494216919},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7434600591659546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236484885215759},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.624224841594696},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.545087993144989},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49209898710250854},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4829789698123932},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4470788240432739},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.43551182746887207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36557477712631226},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32937484979629517},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13613161444664001},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12921223044395447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1111823320388794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10724297165870667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07713502645492554},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gol.2016.7731673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gol.2016.7731673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 3rd International Conference on Logistics Operations Management (GOL)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W159794904","https://openalex.org/W1546822455","https://openalex.org/W1977462895","https://openalex.org/W1977973577","https://openalex.org/W1981465828","https://openalex.org/W1984727134","https://openalex.org/W1988423736","https://openalex.org/W2003628008","https://openalex.org/W2013055734","https://openalex.org/W2017413817","https://openalex.org/W2020559249","https://openalex.org/W2029308727","https://openalex.org/W2029399988","https://openalex.org/W2030293819","https://openalex.org/W2031236641","https://openalex.org/W2033509633","https://openalex.org/W2035903817","https://openalex.org/W2047890429","https://openalex.org/W2062245133","https://openalex.org/W2064404468","https://openalex.org/W2066086285","https://openalex.org/W2069764609","https://openalex.org/W2069850304","https://openalex.org/W2083566211","https://openalex.org/W2084977713","https://openalex.org/W2085036734","https://openalex.org/W2111563176","https://openalex.org/W2115963027","https://openalex.org/W2126598061","https://openalex.org/W2139613025","https://openalex.org/W2144161334","https://openalex.org/W2153921194","https://openalex.org/W2154841487","https://openalex.org/W2224737250","https://openalex.org/W2403905232","https://openalex.org/W2492865963","https://openalex.org/W2498242037","https://openalex.org/W2617045890","https://openalex.org/W3023776523","https://openalex.org/W6606618622","https://openalex.org/W6662364357","https://openalex.org/W6723408085"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4377700919","https://openalex.org/W2095509376","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W4312143452","https://openalex.org/W2018691209","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2365217312"],"abstract_inverted_index":{"In":[0],"this":[1,139],"paper,":[2],"we":[3],"are":[4],"interested":[5],"in":[6,15,31],"vehicle":[7],"routing":[8],"optimization":[9],"which":[10],"is":[11],"an":[12],"important":[13],"problem":[14],"the":[16,23,46,56,64,73,82,85,89,96,100,105,115,121,129],"fields":[17],"of":[18,48,84,99,112,117,138],"transportation.":[19],"We":[20],"will":[21],"introduce":[22],"Vehicle":[24],"Routing":[25],"Problem":[26],"with":[27,45],"soft":[28,67],"time":[29,44,68,123,131],"windows,":[30],"both":[32],"cases:":[33],"static":[34],"(VRPSTW)":[35],"and":[36,88,127],"dynamic":[37],"(D-VRPSTW).":[38],"Input":[39],"information":[40],"changes":[41],"dynamically":[42],"over":[43],"appearance":[47],"new":[49],"customer":[50,126],"requests":[51],"at":[52],"any":[53],"point":[54],"during":[55],"vehicle's":[57],"route,":[58],"that":[59],"include":[60],"real-life":[61],"assumptions.":[62],"On":[63],"other":[65],"hand,":[66],"windows":[69],"allow":[70],"deliveries":[71],"outside":[72],"boundaries":[74],"against":[75,144],"a":[76,110],"penalty":[77],"cost.":[78],"This":[79,102],"paper":[80],"proposes":[81],"hybridization":[83],"genetic":[86],"method":[87,93,140],"variable":[90],"neighborhood":[91],"search":[92],"to":[94],"solve":[95],"two":[97],"version":[98],"problem.":[101],"algorithm":[103],"reduces":[104],"transportation":[106],"costs":[107],"by":[108,119],"using":[109],"fleet":[111],"vehicles,":[113],"improves":[114],"quality":[116,137],"service":[118],"reducing":[120],"delay":[122],"for":[124,132],"each":[125,133],"increase":[128],"stopping":[130],"vehicle.":[134],"The":[135],"solution":[136],"has":[141],"been":[142],"compared":[143],"existing":[145],"results":[146],"on":[147],"benchmark":[148],"problems.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}