{"id":"https://openalex.org/W4293594311","doi":"https://doi.org/10.1051/ro/2022152","title":"A hybrid simulated annealing algorithm to estimate a better upper bound of the minimal total cost of a transportation problem with varying demands and supplies","display_name":"A hybrid simulated annealing algorithm to estimate a better upper bound of the minimal total cost of a transportation problem with varying demands and supplies","publication_year":2022,"publication_date":"2022-08-30","ids":{"openalex":"https://openalex.org/W4293594311","doi":"https://doi.org/10.1051/ro/2022152"},"language":"en","primary_location":{"id":"doi:10.1051/ro/2022152","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2022152","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1051/ro/2022152","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005936292","display_name":"Z. A. M. S. Juman","orcid":"https://orcid.org/0000-0003-4116-9809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Z. A. M. S. Juman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055381917","display_name":"Md. Anamul Hoque","orcid":"https://orcid.org/0000-0002-2117-7177"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. A. Hoque","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5076774017","display_name":"Intesar Al-Mudahka","orcid":"https://orcid.org/0000-0002-3460-0739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Intesar Al-Mudahka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41886171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"57","issue":"2","first_page":"913","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.7958863973617554},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.790382981300354},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6945392489433289},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.616866409778595},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5381890535354614},{"id":"https://openalex.org/keywords/total-cost","display_name":"Total cost","score":0.5142085552215576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5136139392852783},{"id":"https://openalex.org/keywords/transportation-theory","display_name":"Transportation theory","score":0.43589919805526733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30005931854248047},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18900147080421448}],"concepts":[{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.7958863973617554},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.790382981300354},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6945392489433289},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.616866409778595},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5381890535354614},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.5142085552215576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5136139392852783},{"id":"https://openalex.org/C31829261","wikidata":"https://www.wikidata.org/wiki/Q1929885","display_name":"Transportation theory","level":2,"score":0.43589919805526733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30005931854248047},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18900147080421448},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1051/ro/2022152","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2022152","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1051/ro/2022152","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2022152","pdf_url":null,"source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325474","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1964066860","https://openalex.org/W1988599173","https://openalex.org/W1992968912","https://openalex.org/W2009781633","https://openalex.org/W2046938749","https://openalex.org/W2079195297","https://openalex.org/W2085548803","https://openalex.org/W2212016480","https://openalex.org/W2328725012","https://openalex.org/W3174306695"],"related_works":["https://openalex.org/W2132137594","https://openalex.org/W2069783012","https://openalex.org/W2085967955","https://openalex.org/W4256335355","https://openalex.org/W3098612666","https://openalex.org/W1499116563","https://openalex.org/W2138867060","https://openalex.org/W2023859141","https://openalex.org/W2182290077","https://openalex.org/W4206067440"],"abstract_inverted_index":{"Minimizing":[0],"the":[1,34,52,57,61,80,92,96,105,138],"total":[2,63,82,98,122],"cost":[3,64,83,99,123],"of":[4,6,51,60,65,85,95,140,150,156],"transportation":[5,67],"a":[7,45,185],"homogeneous":[8],"product":[9],"from":[10],"multiple":[11,14],"sources":[12],"to":[13,49,165],"destinations":[15],"when":[16],"demand":[17,39],"at":[18,23],"each":[19,24],"source":[20],"and":[21,28,40,72,131,143,159,175],"supply":[22,41],"destination":[25],"are":[26],"deterministic":[27],"constant":[29],"is":[30,75,84,109,135],"commonly":[31],"addressed":[32],"in":[33,37,154,163],"literature.":[35],"However,":[36],"practice,":[38],"may":[42,117],"fluctuate":[43],"within":[44],"certain":[46],"range":[47],"due":[48],"variations":[50],"global":[53],"economy.":[54],"Subsequently,":[55],"finding":[56],"upper":[58,107,120],"bound":[59,94,108],"minimal":[62,81,97,121],"this":[66,119],"problem":[68],"with":[69],"varying":[70],"demands":[71],"supplies":[73],"(TPVDS)":[74],"NP":[76],"hard.":[77],"Yet,":[78],"bounding":[79],"prime":[86],"importance":[87],"for":[88],"financial":[89],"sustainability.":[90],"Although":[91],"lower":[93],"can":[100],"be":[101],"methodologically":[102],"attained,":[103],"determining":[104],"exact":[106],"challenging.":[110],"Herein,":[111],"we":[112,180],"demonstrate":[113],"that":[114,134],"existing":[115,166],"methods":[116],"underestimate":[118],"bound.":[124],"We":[125,146,168],"therefore":[126],"propose":[127],"an":[128],"alternative":[129],"efficient":[130],"robust":[132],"method":[133],"based":[136],"on":[137,173,184],"hybridization":[139],"simulated":[141],"annealing":[142],"steepest":[144],"descent.":[145],"provide":[147],"theoretical":[148],"evidence":[149],"its":[151,161,171,182],"good":[152],"performance":[153,172],"terms":[155],"solution":[157],"quality":[158],"prove":[160],"superiority":[162],"comparison":[164],"techniques.":[167],"further":[169],"validate":[170],"benchmark":[174],"newly":[176],"generated":[177],"instances.":[178],"Finally,":[179],"exemplify":[181],"utility":[183],"real-world":[186],"TPVDS.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}