{"id":"https://openalex.org/W2787686159","doi":"https://doi.org/10.1109/ssci.2017.8285385","title":"An age layered population structure genetic algorithm for the multi-depot vehicle problem","display_name":"An age layered population structure genetic algorithm for the multi-depot vehicle problem","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2787686159","doi":"https://doi.org/10.1109/ssci.2017.8285385","mag":"2787686159"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2017.8285385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5068329039","display_name":"Audrey Opoku-Amankwaah","orcid":null},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Audrey Opoku-Amankwaah","raw_affiliation_strings":["Department of Computer Science, Brock University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brock University","institution_ids":["https://openalex.org/I186803428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005525160","display_name":"Beatrice Ombuki-Berman","orcid":"https://orcid.org/0000-0002-7296-9510"},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Beatrice Ombuki-Berman","raw_affiliation_strings":["Department of Computer Science, Brock University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brock University","institution_ids":["https://openalex.org/I186803428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186803428"],"apc_list":null,"apc_paid":null,"fwci":0.8725,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72683607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.8567160964012146},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.7113279104232788},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6929849982261658},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5874497294425964},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5736641883850098},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5650566220283508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5629174113273621},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5516843795776367},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.48504751920700073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24980846047401428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2052994668483734},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11388599872589111},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07549577951431274}],"concepts":[{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.8567160964012146},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.7113279104232788},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6929849982261658},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5874497294425964},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5736641883850098},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5650566220283508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5629174113273621},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5516843795776367},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.48504751920700073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24980846047401428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2052994668483734},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11388599872589111},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07549577951431274},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2017.8285385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2017.8285385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium Series on Computational Intelligence (SSCI)","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":39,"referenced_works":["https://openalex.org/W101458385","https://openalex.org/W1505411542","https://openalex.org/W1536866114","https://openalex.org/W1595498733","https://openalex.org/W1659842140","https://openalex.org/W1809875586","https://openalex.org/W1970462306","https://openalex.org/W1972740534","https://openalex.org/W1975828823","https://openalex.org/W1979144412","https://openalex.org/W1987999609","https://openalex.org/W1992769367","https://openalex.org/W1995861141","https://openalex.org/W2014667413","https://openalex.org/W2029681015","https://openalex.org/W2031438593","https://openalex.org/W2058892401","https://openalex.org/W2060740922","https://openalex.org/W2066271905","https://openalex.org/W2070637511","https://openalex.org/W2071904794","https://openalex.org/W2078619461","https://openalex.org/W2091959788","https://openalex.org/W2109075243","https://openalex.org/W2109101401","https://openalex.org/W2111388156","https://openalex.org/W2111563176","https://openalex.org/W2111581650","https://openalex.org/W2119601963","https://openalex.org/W2125502051","https://openalex.org/W2131250550","https://openalex.org/W2140887900","https://openalex.org/W2169496078","https://openalex.org/W2548263761","https://openalex.org/W2550518915","https://openalex.org/W2900470723","https://openalex.org/W3023540311","https://openalex.org/W6604131640","https://openalex.org/W6756583956"],"related_works":["https://openalex.org/W2018691209","https://openalex.org/W4312143452","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2132920749","https://openalex.org/W2101108574","https://openalex.org/W2157331354","https://openalex.org/W3131953714","https://openalex.org/W2626773395","https://openalex.org/W2365217312"],"abstract_inverted_index":{"The":[0],"vehicle":[1,19],"routing":[2,20],"problem":[3,21,37],"is":[4,67,72],"experienced":[5],"in":[6],"several":[7,30],"industries":[8],"such":[9],"as":[10,34],"transportation,":[11],"distribution":[12],"and":[13,32,44,80,86],"logistics.":[14],"We":[15],"study":[16,71,94],"the":[17,26,40,55,83,102,105],"Multi-depot":[18],"(MDVRP)":[22],"a":[23,35],"variant":[24],"of":[25,42,104],"classical":[27],"VRP":[28],"with":[29,63,95],"depots":[31],"customers":[33],"multi-objective":[36],"where":[38],"both":[39,82],"number":[41],"vehicles":[43],"total":[45],"distance":[46],"travelled":[47],"are":[48],"minimized":[49],"simultaneously.":[50],"A":[51,92],"multipopulation":[52],"structure,":[53],"i.e.,":[54],"age":[56],"layered":[57],"population":[58],"structure":[59],"genetic":[60,98],"algorithms":[61,99],"(ALPS-GA)":[62],"inter-layer":[64],"transfer":[65],"strategies":[66],"proposed.":[68],"An":[69],"empirical":[70],"carried":[73],"out":[74],"using":[75,81],"well-known":[76],"MDVRP":[77],"benchmark":[78],"problems":[79],"weighted":[84],"sum":[85],"Pareto":[87],"ranking":[88],"fitness":[89],"evaluation":[90],"strategies.":[91],"comparative":[93],"previously":[96],"published":[97],"results":[100],"shows":[101],"effectiveness":[103],"proposed":[106],"ALPS-GA":[107],"approach.":[108]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}