{"id":"https://openalex.org/W2953147501","doi":"https://doi.org/10.1145/3325730.3325742","title":"A hybridization of Memetic Algorithm with SVND for Solving a Hybrid Vehicle Routing Problem","display_name":"A hybridization of Memetic Algorithm with SVND for Solving a Hybrid Vehicle Routing Problem","publication_year":2019,"publication_date":"2019-04-12","ids":{"openalex":"https://openalex.org/W2953147501","doi":"https://doi.org/10.1145/3325730.3325742","mag":"2953147501"},"language":"en","primary_location":{"id":"doi:10.1145/3325730.3325742","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325730.3325742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence","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/A5100338511","display_name":"Xiaohui Li","orcid":"https://orcid.org/0000-0001-5026-8513"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohui Li","raw_affiliation_strings":["School of Electronics and Control Engineering, Chang'An University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Control Engineering, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057609415","display_name":"Yi Zhao","orcid":"https://orcid.org/0000-0002-1139-8320"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhao","raw_affiliation_strings":["School of Electronics and Control Engineering, Chang'An University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Control Engineering, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062500105","display_name":"Xuemin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Shi","raw_affiliation_strings":["School of Electronics and Control Engineering, Chang'An University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Control Engineering, Chang'An University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019825405","display_name":"Tiantian Shi","orcid":"https://orcid.org/0000-0001-9714-0445"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Shi","raw_affiliation_strings":["College of Materials Science and Engineering, Xi'an University of Science and Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Materials Science and Engineering, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100338511"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75679339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"166"},"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9987000226974487,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/memetic-algorithm","display_name":"Memetic algorithm","score":0.8798342943191528},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.7957993745803833},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.7081899046897888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6319421529769897},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5989981889724731},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5977848768234253},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5811377763748169},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.5189961194992065},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.48630985617637634},{"id":"https://openalex.org/keywords/hybrid-vehicle","display_name":"Hybrid vehicle","score":0.48448917269706726},{"id":"https://openalex.org/keywords/hybrid-power","display_name":"Hybrid power","score":0.4832923710346222},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.45205894112586975},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.3916354179382324},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3326907753944397},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30496126413345337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15188279747962952},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14586347341537476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11333918571472168}],"concepts":[{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.8798342943191528},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.7957993745803833},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.7081899046897888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319421529769897},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5989981889724731},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5977848768234253},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5811377763748169},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.5189961194992065},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.48630985617637634},{"id":"https://openalex.org/C516807790","wikidata":"https://www.wikidata.org/wiki/Q193075","display_name":"Hybrid vehicle","level":3,"score":0.48448917269706726},{"id":"https://openalex.org/C86155754","wikidata":"https://www.wikidata.org/wiki/Q13636979","display_name":"Hybrid power","level":3,"score":0.4832923710346222},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.45205894112586975},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.3916354179382324},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3326907753944397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30496126413345337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15188279747962952},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14586347341537476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11333918571472168},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3325730.3325742","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3325730.3325742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W47957325","https://openalex.org/W1991063577","https://openalex.org/W2022401786","https://openalex.org/W2042986967","https://openalex.org/W2057559819","https://openalex.org/W2073292534","https://openalex.org/W2314343773","https://openalex.org/W2562801040","https://openalex.org/W2563457599","https://openalex.org/W2594043797","https://openalex.org/W2625500717","https://openalex.org/W2790461374","https://openalex.org/W4240800887"],"related_works":["https://openalex.org/W2558758214","https://openalex.org/W2117751433","https://openalex.org/W3097235756","https://openalex.org/W4240228376","https://openalex.org/W3174567964","https://openalex.org/W2509148198","https://openalex.org/W4300659707","https://openalex.org/W2270345581","https://openalex.org/W647224592","https://openalex.org/W2278957839"],"abstract_inverted_index":{"Green":[0],"Vehicle":[1,10,31,48],"Routing":[2,11,32],"Problem":[3,33],"(GVRP)":[4],"is":[5,26,35,61,85,94],"an":[6,36],"extension":[7,37],"of":[8,24,38,55,69,97,112],"the":[9,16,39,44,110,113],"Problem(VRP)the":[12],"GVRP":[13,25],"can":[14],"harmonizes":[15],"environmental":[17],"and":[18,57,74],"economic":[19],"impacts.":[20],"The":[21,29,59,91,106],"key":[22],"concern":[23],"energy":[27],"consumption.":[28],"Hybrid":[30,46],"(HVRP)":[34],"GVRP.":[40],"In":[41,77],"this":[42,78,89],"problem,":[43],"Plug-in":[45],"Electric":[47],"(PHEV)":[49],"uses":[50],"a":[51,80,95],"hybrid":[52,82],"power":[53],"source":[54],"electric":[56,71],"fuel.":[58],"aim":[60],"to":[62,87],"minimize":[63],"total":[64],"travel":[65],"costs":[66],"in":[67],"consideration":[68],"both":[70],"charging":[72],"station":[73],"fuel":[75],"stations.":[76],"work,":[79],"novel":[81],"metaheuristic":[83],"approach":[84],"proposed":[86,92,114],"solve":[88],"problem.":[90],"method":[93],"hybridization":[96],"memetic":[98],"algorithm":[99],"with":[100],"sequential":[101],"variable":[102],"neighborhood":[103],"descent":[104],"(SVND).":[105],"experiment":[107],"results":[108],"proved":[109],"effectiveness":[111],"algorithm.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
