{"id":"https://openalex.org/W4200528685","doi":"https://doi.org/10.1080/23302674.2021.2009932","title":"Hybrid meta-heuristic algorithms for optimising a sustainable agricultural supply chain network considering CO 2 emissions and water consumption","display_name":"Hybrid meta-heuristic algorithms for optimising a sustainable agricultural supply chain network considering CO 2 emissions and water consumption","publication_year":2021,"publication_date":"2021-12-16","ids":{"openalex":"https://openalex.org/W4200528685","doi":"https://doi.org/10.1080/23302674.2021.2009932"},"language":"en","primary_location":{"id":"doi:10.1080/23302674.2021.2009932","doi":"https://doi.org/10.1080/23302674.2021.2009932","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23302674.2021.2009932","pdf_url":null,"source":{"id":"https://openalex.org/S2764706523","display_name":"International Journal of Systems Science Operations & Logistics","issn_l":"2330-2674","issn":["2330-2674","2330-2682"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science: Operations & Logistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5000283082","display_name":"Fariba Goodarzian","orcid":"https://orcid.org/0000-0001-9295-1839","observed_orcids":["https://orcid.org/0000-0001-9295-1839"]},"institutions":[{"id":"https://openalex.org/I4210107658","display_name":"Machine Intelligence Research Labs","ror":"https://ror.org/013kgb629","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210107658"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fariba Goodarzian","raw_affiliation_strings":["Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, USA","institution_ids":["https://openalex.org/I4210107658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052161532","display_name":"Davood Shishebori","orcid":"https://orcid.org/0000-0001-7737-6565","observed_orcids":["https://orcid.org/0000-0001-7737-6565"]},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Davood Shishebori","raw_affiliation_strings":["Department of Industrial Engineering, Yazd University, Yazd, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Yazd University, Yazd, Iran","institution_ids":["https://openalex.org/I112536369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003891282","display_name":"Farzad Bahrami","orcid":"https://orcid.org/0000-0002-3327-648X","observed_orcids":["https://orcid.org/0000-0002-3327-648X"]},"institutions":[{"id":"https://openalex.org/I35510649","display_name":"Arak University","ror":"https://ror.org/00ngrq502","country_code":"IR","type":"education","lineage":["https://openalex.org/I35510649"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farzad Bahrami","raw_affiliation_strings":["Department of Industrial Management, Faculty of Law & Economics, Arak University, Arak, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Management, Faculty of Law & Economics, Arak University, Arak, Iran","institution_ids":["https://openalex.org/I35510649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087542455","display_name":"Ajith Abraham","orcid":"https://orcid.org/0000-0002-0169-6738","observed_orcids":["https://orcid.org/0000-0002-0169-6738","https://orcid.org/0000-0002-5589-8992"]},"institutions":[{"id":"https://openalex.org/I4210107658","display_name":"Machine Intelligence Research Labs","ror":"https://ror.org/013kgb629","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210107658"]},{"id":"https://openalex.org/I4210116741","display_name":"Innopolis University","ror":"https://ror.org/02b7jh107","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210116741"]}],"countries":["RU","US"],"is_corresponding":false,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["Center for Artificial Intelligence, Innopolis University, Innopolis, Russia","Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Innopolis University, Innopolis, Russia","institution_ids":["https://openalex.org/I4210116741"]},{"raw_affiliation_string":"Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, USA","institution_ids":["https://openalex.org/I4210107658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005610758","display_name":"Andrea Appolloni","orcid":"https://orcid.org/0000-0001-5741-398X","observed_orcids":["https://orcid.org/0000-0001-5741-398X"]},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]},{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"Andrea Appolloni","raw_affiliation_strings":["Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Rome, Italy","School of Management, Cranfield University, Bedford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"School of Management, Cranfield University, Bedford, UK","institution_ids":["https://openalex.org/I82284825"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000283082"],"corresponding_institution_ids":["https://openalex.org/I4210107658"],"apc_list":null,"apc_paid":null,"fwci":2.1969,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88832063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.7196999788284302,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.7196999788284302,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.10279999673366547,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.059300001710653305,"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/co2-emissions","display_name":"CO2 emissions","score":0.949999988079071},{"id":"https://openalex.org/keywords/water-use","display_name":"water consumption","score":0.9919999837875366},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8270000219345093},{"id":"https://openalex.org/keywords/hybrid-meta-heuristic-algorithm","display_name":"hybrid meta-heuristic algorithm","score":0.9359999895095825},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"simulated annealing","score":0.9229999780654907},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9869999885559082},{"id":"https://openalex.org/keywords/mixed-integer-linear-programming","display_name":"mixed-integer linear programming","score":0.8230000138282776},{"id":"https://openalex.org/keywords/green-supply-chain","display_name":"green supply chain","score":0.5379999876022339},{"id":"https://openalex.org/keywords/job-creation","display_name":"job creation","score":0.5130000114440918},{"id":"https://openalex.org/keywords/transport-emissions","display_name":"transport emissions","score":0.5580000281333923}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6508333683013916},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6452657580375671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095037460327148},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.582442581653595},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.570749819278717},{"id":"https://openalex.org/C2988037039","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Meta heuristic","level":2,"score":0.5472356081008911},{"id":"https://openalex.org/C2778397037","wikidata":"https://www.wikidata.org/wiki/Q17083947","display_name":"Supply chain network","level":4,"score":0.49825191497802734},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4801201820373535},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4647473692893982},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4513052701950073},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4507758617401123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4310920238494873},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.23018944263458252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1714109182357788},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16794157028198242},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09963303804397583},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07194337248802185},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/23302674.2021.2009932","doi":"https://doi.org/10.1080/23302674.2021.2009932","is_oa":false,"landing_page_url":"https://doi.org/10.1080/23302674.2021.2009932","pdf_url":null,"source":{"id":"https://openalex.org/S2764706523","display_name":"International Journal of Systems Science Operations & Logistics","issn_l":"2330-2674","issn":["2330-2674","2330-2682"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-c","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science: Operations & Logistics","raw_type":"journal-article"},{"id":"pmh:oai:art.torvergata.it:2108/294633","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/2108/294633","pdf_url":null,"source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"},{"score":0.9786999821662903,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"},{"score":0.651199996471405,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.40450000762939453,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W832457573","https://openalex.org/W1505338788","https://openalex.org/W1974836738","https://openalex.org/W2015553409","https://openalex.org/W2019210159","https://openalex.org/W2024060531","https://openalex.org/W2045255436","https://openalex.org/W2054845726","https://openalex.org/W2062866656","https://openalex.org/W2068253265","https://openalex.org/W2087146468","https://openalex.org/W2090099377","https://openalex.org/W2090310358","https://openalex.org/W2104394656","https://openalex.org/W2109364787","https://openalex.org/W2114951958","https://openalex.org/W2124859810","https://openalex.org/W2135210976","https://openalex.org/W2188338416","https://openalex.org/W2240136078","https://openalex.org/W2340832674","https://openalex.org/W2516933697","https://openalex.org/W2561835983","https://openalex.org/W2564080720","https://openalex.org/W2591210079","https://openalex.org/W2766395426","https://openalex.org/W2766552321","https://openalex.org/W2767166902","https://openalex.org/W2772695071","https://openalex.org/W2782636129","https://openalex.org/W2788266957","https://openalex.org/W2799753390","https://openalex.org/W2805235538","https://openalex.org/W2885663734","https://openalex.org/W2944291440","https://openalex.org/W2944436726","https://openalex.org/W2946253495","https://openalex.org/W2969326791","https://openalex.org/W3037962121","https://openalex.org/W3042050678","https://openalex.org/W3098373447","https://openalex.org/W3108161679","https://openalex.org/W3118985424","https://openalex.org/W3129365352","https://openalex.org/W3133786443","https://openalex.org/W3134867774","https://openalex.org/W3135470599","https://openalex.org/W3138687866","https://openalex.org/W3152934225","https://openalex.org/W3153401546","https://openalex.org/W3153639604","https://openalex.org/W3159977491","https://openalex.org/W3165682474","https://openalex.org/W3175029775","https://openalex.org/W3186295297","https://openalex.org/W3194913519","https://openalex.org/W4249545506","https://openalex.org/W7035853150"],"related_works":["https://openalex.org/W4304892057","https://openalex.org/W3098373447","https://openalex.org/W4388625990","https://openalex.org/W3083075771","https://openalex.org/W3035430863","https://openalex.org/W3139348317","https://openalex.org/W2905404672","https://openalex.org/W3214836293","https://openalex.org/W4392769945","https://openalex.org/W4383762503"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"a":[3,17,172],"new":[4,97],"mixed-integer":[5],"linear":[6],"programming":[7],"(MILP)":[8],"formulation":[9],"for":[10],"the":[11,32,38,73,76,81,86,105,108,119,141,145,148,169],"production-distribution-routing":[12],"problem":[13,170],"is":[14,137,160],"developed":[15],"in":[16,44,56,171],"sustainable":[18],"agricultural":[19],"product":[20],"supply":[21],"chain":[22],"network":[23],"(SAPSCN)":[24],"considering":[25],"CO2":[26],"emission.":[27],"The":[28],"objective":[29],"functions":[30],"of":[31,75,85,107,147],"SAPSCN":[33,45,87],"model":[34,121],"seek":[35],"to":[36,67,80,117,139,167],"minimise":[37],"economic":[39],"effects":[40],"containing":[41],"total":[42],"cost":[43],"and":[46,51,61,83,95,122,124,152],"environmental":[47],"impacts":[48,70],"including":[49,71],"production":[50],"operation":[52],"emissions,":[53],"water":[54,59],"consumption":[55],"production,":[57],"operational":[58],"consumption,":[60],"transportation":[62],"emission,":[63],"as":[64,66],"well":[65],"maximise":[68],"social":[69],"on":[72],"number":[74],"created":[77],"works.":[78],"Due":[79],"complexity":[82],"NP-hardness":[84],"formulation,":[88],"four":[89],"multi-objective":[90],"meta-heuristic":[91,99,110],"algorithms":[92,100,166],"were":[93,101,115,127],"applied,":[94],"two":[96],"hybrid":[98,149],"developed.":[102],"To":[103],"assess":[104],"efficiency":[106],"suggested":[109],"algorithms,":[111],"various":[112,131],"test":[113],"instances":[114],"used":[116],"solve":[118,168],"proposed":[120,165],"comparisons":[123],"sensitivity":[125],"analyses":[126],"carried":[128],"out":[129],"with":[130],"criteria.":[132],"A":[133],"real":[134],"case":[135],"study":[136],"provided":[138],"validate":[140],"mathematical":[142],"model.":[143],"Finally,":[144],"results":[146],"simulated":[150],"annealing":[151],"particle":[153],"swarm":[154],"optimisation":[155],"algorithm":[156],"emphasises":[157],"that":[158],"it":[159],"more":[161],"robust":[162],"than":[163],"other":[164],"reasonable":[173],"time.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-12-31T00:00:00"}