{"id":"https://openalex.org/W2751457634","doi":"https://doi.org/10.4018/ijsds.2017070105","title":"A New Multi-Objective Green Location Routing Problem with Heterogonous Fleet of Vehicles and Fuel Constraint","display_name":"A New Multi-Objective Green Location Routing Problem with Heterogonous Fleet of Vehicles and Fuel Constraint","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2751457634","doi":"https://doi.org/10.4018/ijsds.2017070105","mag":"2751457634"},"language":"en","primary_location":{"id":"doi:10.4018/ijsds.2017070105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsds.2017070105","pdf_url":null,"source":{"id":"https://openalex.org/S11317544","display_name":"International Journal of Strategic Decision Sciences","issn_l":"1947-8569","issn":["1947-8569","1947-8577"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Strategic Decision Sciences","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/A5039269418","display_name":"Masoud Rabbani","orcid":"https://orcid.org/0000-0001-8756-4922"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Masoud Rabbani","raw_affiliation_strings":["School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052580498","display_name":"Mohsen Davoudkhani","orcid":null},"institutions":[{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I4210109807","display_name":"Laboratoire de Conception Fabrication Commande","ror":"https://ror.org/01xd0ys45","country_code":"FR","type":"facility","lineage":["https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I4210109807","https://openalex.org/I4210134562","https://openalex.org/I90183372"]}],"countries":["FR","IR"],"is_corresponding":false,"raw_author_name":"Mohsen Davoudkhani","raw_affiliation_strings":["School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran & LCFC, Arts et M\u00e9tiers Paris Tech, Metz, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran & LCFC, Arts et M\u00e9tiers Paris Tech, Metz, France","institution_ids":["https://openalex.org/I190752583","https://openalex.org/I23946033","https://openalex.org/I4210109807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032576529","display_name":"Hamed Farrokhi-Asl","orcid":"https://orcid.org/0000-0002-5310-5784"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamed Farrokhi-Asl","raw_affiliation_strings":["School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.781,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87014141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"8","issue":"3","first_page":"99","last_page":"119"},"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":0.9951000213623047,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7121819257736206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402583122253418},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5771030187606812},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5702530145645142},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5433644652366638},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5230299234390259},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.515673041343689},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5063978433609009},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4768736958503723},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.43212682008743286},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.42682990431785583},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.29310405254364014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2463969588279724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21600589156150818},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08369463682174683},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08091863989830017}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7121819257736206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402583122253418},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5771030187606812},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5702530145645142},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5433644652366638},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5230299234390259},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.515673041343689},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5063978433609009},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4768736958503723},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.43212682008743286},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.42682990431785583},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.29310405254364014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2463969588279724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21600589156150818},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08369463682174683},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08091863989830017},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijsds.2017070105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsds.2017070105","pdf_url":null,"source":{"id":"https://openalex.org/S11317544","display_name":"International Journal of Strategic Decision Sciences","issn_l":"1947-8569","issn":["1947-8569","1947-8577"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Strategic Decision Sciences","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsds00:v:8:y:2017:i:3:p:99-119","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDS.2017070105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"},{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1480428252","https://openalex.org/W1542437639","https://openalex.org/W1583403835","https://openalex.org/W1585939719","https://openalex.org/W1615631140","https://openalex.org/W1965856911","https://openalex.org/W1975250852","https://openalex.org/W2021621713","https://openalex.org/W2023071828","https://openalex.org/W2028470441","https://openalex.org/W2031733044","https://openalex.org/W2034550171","https://openalex.org/W2038172102","https://openalex.org/W2043459322","https://openalex.org/W2056295481","https://openalex.org/W2078418832","https://openalex.org/W2081253422","https://openalex.org/W2084980894","https://openalex.org/W2085984717","https://openalex.org/W2086381556","https://openalex.org/W2087713917","https://openalex.org/W2111563176","https://openalex.org/W2126043710","https://openalex.org/W2137920755","https://openalex.org/W2141219961","https://openalex.org/W2155097272","https://openalex.org/W2158000627","https://openalex.org/W2177916571","https://openalex.org/W2203572602","https://openalex.org/W2226731518","https://openalex.org/W2231755997","https://openalex.org/W2274664589","https://openalex.org/W2282282055","https://openalex.org/W2284822720","https://openalex.org/W2297551109","https://openalex.org/W2573624161"],"related_works":["https://openalex.org/W1994686097","https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W2384474142"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,32,56,120],"new":[4,33],"variant":[5],"of":[6,20,41,49,58,186],"Multi-Objective":[7],"Green":[8],"Location":[9],"Routing":[10],"Problem":[11],"(MOGLRP)":[12],"in":[13,119],"which":[14,98,126],"the":[15,29,37,47,62,67,79,86,109,123,184,187,193],"start":[16],"and":[17,74,78,154,167,204,211],"end":[18],"location":[19],"each":[21],"route":[22],"can":[23],"be":[24],"distinct.":[25],"In":[26,82],"this":[27],"paper,":[28],"authors":[30],"present":[31],"mathematical":[34],"formulation":[35],"for":[36,46,52],"MOGLRP":[38,44],"with":[39,139,190],"consideration":[40],"environmentally":[42],"issues.":[43],"states":[45],"problem":[48],"finding":[50],"routes":[51],"vehicles":[53],"to":[54,84,101,115,137,176,192],"serve":[55],"set":[57],"customers":[59],"while":[60],"minimizes":[61,66],"total":[63,68],"traveled":[64],"distance,":[65],"cost":[69,73,77],"including":[70,148,197],"vehicle":[71],"fixed":[72],"variable":[75],"travel":[76],"co2":[80],"emissions.":[81],"order":[83],"solve":[85,102,116],"proposed":[87,188],"model,":[88],"two":[89],"solution":[90],"methods":[91,111],"are":[92,112,133,174,215],"used.":[93],"Firstly,":[94],"an":[95],"exact":[96,110],"method":[97,125],"is":[99,106,127],"able":[100,114],"small":[103],"sized":[104],"problems":[105,118],"applied.":[107],"Since":[108],"not":[113],"NP-hard":[117],"reasonable":[121],"time,":[122],"second":[124],"called":[128],"multi-objective":[129,145,155],"evolutionary":[130,146],"algorithms":[131],"(MOEA)":[132],"taken":[134],"into":[135],"account":[136],"deal":[138],"large":[140],"instances.":[141],"Furthermore,":[142],"four":[143,194],"well-known":[144],"algorithms,":[147],"non-dominated":[149],"sorting":[150],"genetic":[151],"algorithm":[152,189],"(NSGA-II)":[153],"particle":[156],"swarm":[157],"optimization":[158],"(MOPSO),":[159],"Strength":[160],"Pareto":[161,168],"Evolutionary":[162],"Algorithm":[163,171],"II":[164,172],"(SPEA-":[165],"II)":[166],"Envelope-based":[169],"Selection":[170],"(PESA-II)":[173],"used":[175],"compare":[177],"obtained":[178],"results.":[179],"A":[180],"comparison":[181],"results":[182],"show":[183],"proficiency":[185],"respect":[191],"performance":[195],"metrics,":[196],"quantity":[198],"metric,":[199,201],"diversification":[200],"spacing":[202],"metrics":[203],"mean":[205],"ideal":[206],"distance.":[207],"Finally,":[208],"concluding":[209],"remarks":[210],"future":[212],"research":[213],"directions":[214],"provided.":[216]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
