{"id":"https://openalex.org/W4214644730","doi":"https://doi.org/10.1142/s0218213022500014","title":"A Local Search Q-learning Based Approach for Multi-period Vehicle Redeployment","display_name":"A Local Search Q-learning Based Approach for Multi-period Vehicle Redeployment","publication_year":2022,"publication_date":"2022-02-01","ids":{"openalex":"https://openalex.org/W4214644730","doi":"https://doi.org/10.1142/s0218213022500014"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213022500014","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500014","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","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/A5066741083","display_name":"Sarah Ibri","orcid":"https://orcid.org/0000-0002-2479-9852"},"institutions":[{"id":"https://openalex.org/I4210164694","display_name":"Hassiba Benbouali University of Chlef","ror":"https://ror.org/04yymzm67","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210164694"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Sarah Ibri","raw_affiliation_strings":["Computer Science Department, Chlef University, Chlef, Algeria"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Chlef University, Chlef, Algeria","institution_ids":["https://openalex.org/I4210164694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066741083"],"corresponding_institution_ids":["https://openalex.org/I4210164694"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02368176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"01","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":0.9811000227928162,"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":0.9811000227928162,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9721999764442444,"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":0.9320999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8371908068656921},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.6151614785194397},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5479980111122131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4147798418998718},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3959653079509735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8371908068656921},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.6151614785194397},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5479980111122131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4147798418998718},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3959653079509735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213022500014","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500014","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W1644951908","https://openalex.org/W2952680837","https://openalex.org/W1895669308"],"abstract_inverted_index":{"The":[0],"problem":[1,19,37],"of":[2,30],"vehicle":[3],"redeployment":[4],"in":[5,10],"multi-period":[6,68],"systems":[7],"is":[8,14,38],"studied":[9],"this":[11,34],"paper.":[12],"It":[13,48],"a":[15,41,67],"sequential":[16],"decision":[17,63],"making":[18],"that":[20],"involves":[21],"optimizing":[22,76],"an":[23],"objective":[24],"over":[25],"some":[26],"planning":[27],"horizon":[28],"composed":[29],"multiple":[31],"periods.":[32],"In":[33],"work,":[35],"the":[36,53,58,77,89,99],"handled":[39],"with":[40],"hybrid":[42],"local":[43,50,94],"search":[44,51,95],"and":[45,56,61,85,88],"Q-learning":[46],"algorithm.":[47,102],"integrates":[49],"into":[52],"Dyna-Q":[54,101],"algorithm":[55],"combines":[57],"system\u2019s":[59],"tactical":[60],"operational":[62],"levels":[64],"to":[65],"find":[66],"policy":[69],"for":[70],"sharing":[71],"vehicles":[72],"between":[73],"stations":[74],"while":[75],"objective.":[78],"Tests":[79],"were":[80],"carried":[81],"out":[82],"on":[83],"synthetic":[84],"real":[86],"instances,":[87],"obtained":[90],"results":[91],"show":[92],"how":[93],"integration":[96],"can":[97],"improve":[98],"basic":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}