{"id":"https://openalex.org/W2946329373","doi":"https://doi.org/10.1109/access.2019.2918753","title":"Supply-Demand-Based Optimization: A Novel Economics-Inspired Algorithm for Global Optimization","display_name":"Supply-Demand-Based Optimization: A Novel Economics-Inspired Algorithm for Global Optimization","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2946329373","doi":"https://doi.org/10.1109/access.2019.2918753","mag":"2946329373"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2918753","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2918753","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2918753","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082641546","display_name":"Weiguo Zhao","orcid":"https://orcid.org/0000-0002-4069-2422"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]},{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I4210156743","display_name":"Illinois Archaeological Survey","ror":"https://ror.org/04gczvb13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210156743"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Weiguo Zhao","raw_affiliation_strings":["Illinois State Water Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA","School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Illinois State Water Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I4210156743","https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404991","display_name":"Liying Wang","orcid":"https://orcid.org/0000-0001-6899-3289"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Wang","raw_affiliation_strings":["School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0001-6899-3289","affiliations":[{"raw_affiliation_string":"School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605414","display_name":"Zhenxing Zhang","orcid":"https://orcid.org/0000-0001-9389-4741"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I4210156743","display_name":"Illinois Archaeological Survey","ror":"https://ror.org/04gczvb13","country_code":"US","type":"other","lineage":["https://openalex.org/I4210156743"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenxing Zhang","raw_affiliation_strings":["Illinois State Water Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Illinois State Water Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I4210156743","https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082641546"],"corresponding_institution_ids":["https://openalex.org/I106079672","https://openalex.org/I157725225","https://openalex.org/I4210156743"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.6273,"has_fulltext":false,"cited_by_count":216,"citation_normalized_percentile":{"value":0.98907028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"73182","last_page":"73206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7394251823425293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698707640171051},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6564640998840332},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.643722653388977},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6165900230407715},{"id":"https://openalex.org/keywords/supply-and-demand","display_name":"Supply and demand","score":0.5928367376327515},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4568934440612793},{"id":"https://openalex.org/keywords/engineering-optimization","display_name":"Engineering optimization","score":0.45663928985595703},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.45024797320365906},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.42959481477737427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3341587781906128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13155952095985413},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1177850067615509},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.1162307858467102}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7394251823425293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698707640171051},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6564640998840332},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.643722653388977},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6165900230407715},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.5928367376327515},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4568934440612793},{"id":"https://openalex.org/C110850998","wikidata":"https://www.wikidata.org/wiki/Q5377895","display_name":"Engineering optimization","level":3,"score":0.45663928985595703},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45024797320365906},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.42959481477737427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3341587781906128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13155952095985413},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1177850067615509},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.1162307858467102},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2918753","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2918753","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a9a035a80883454c9deee2cab0b8b0ee","is_oa":true,"landing_page_url":"https://doaj.org/article/a9a035a80883454c9deee2cab0b8b0ee","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 73182-73206 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2918753","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2918753","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2700169473","display_name":null,"funder_award_id":"F2017402142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6309867065","display_name":null,"funder_award_id":"E2018402092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W28590439","https://openalex.org/W137575789","https://openalex.org/W237869302","https://openalex.org/W883434633","https://openalex.org/W978997059","https://openalex.org/W1497256448","https://openalex.org/W1527331442","https://openalex.org/W1560764425","https://openalex.org/W1576660662","https://openalex.org/W1585611690","https://openalex.org/W1595159159","https://openalex.org/W1597134548","https://openalex.org/W1604492633","https://openalex.org/W1613273921","https://openalex.org/W1861386474","https://openalex.org/W1886309686","https://openalex.org/W1968635316","https://openalex.org/W1972279253","https://openalex.org/W1972462693","https://openalex.org/W1982600514","https://openalex.org/W1983362686","https://openalex.org/W1985460844","https://openalex.org/W1993885071","https://openalex.org/W1999284878","https://openalex.org/W2003143905","https://openalex.org/W2003890325","https://openalex.org/W2006694777","https://openalex.org/W2007351764","https://openalex.org/W2015512846","https://openalex.org/W2015808650","https://openalex.org/W2024060531","https://openalex.org/W2024833075","https://openalex.org/W2027382431","https://openalex.org/W2034988449","https://openalex.org/W2041629655","https://openalex.org/W2051682049","https://openalex.org/W2054711601","https://openalex.org/W2062106836","https://openalex.org/W2065401134","https://openalex.org/W2067959852","https://openalex.org/W2069699706","https://openalex.org/W2072955302","https://openalex.org/W2074031847","https://openalex.org/W2076608183","https://openalex.org/W2076858147","https://openalex.org/W2077090798","https://openalex.org/W2077900664","https://openalex.org/W2081934079","https://openalex.org/W2084598929","https://openalex.org/W2091638274","https://openalex.org/W2093195672","https://openalex.org/W2096158223","https://openalex.org/W2100718938","https://openalex.org/W2102343719","https://openalex.org/W2106905228","https://openalex.org/W2118044993","https://openalex.org/W2122122715","https://openalex.org/W2137514952","https://openalex.org/W2140796089","https://openalex.org/W2143001780","https://openalex.org/W2143055330","https://openalex.org/W2147271386","https://openalex.org/W2149815769","https://openalex.org/W2150382849","https://openalex.org/W2151554678","https://openalex.org/W2154943049","https://openalex.org/W2163902342","https://openalex.org/W2168081761","https://openalex.org/W2169934304","https://openalex.org/W2182761707","https://openalex.org/W2191258242","https://openalex.org/W2290883490","https://openalex.org/W2410374249","https://openalex.org/W2465078833","https://openalex.org/W2511284938","https://openalex.org/W2516880899","https://openalex.org/W2528526052","https://openalex.org/W2558062876","https://openalex.org/W2579436538","https://openalex.org/W2606276573","https://openalex.org/W2765100072","https://openalex.org/W2768434535","https://openalex.org/W2802800902","https://openalex.org/W2803360343","https://openalex.org/W2807821935","https://openalex.org/W2884118945","https://openalex.org/W2888053516","https://openalex.org/W4242724544","https://openalex.org/W4243570446","https://openalex.org/W4246565613","https://openalex.org/W4285719527","https://openalex.org/W6633704442","https://openalex.org/W6639494846","https://openalex.org/W6686280248","https://openalex.org/W6714948017","https://openalex.org/W6815540224"],"related_works":["https://openalex.org/W1480600971","https://openalex.org/W2045050140","https://openalex.org/W269924725","https://openalex.org/W2889906665","https://openalex.org/W2746346305","https://openalex.org/W2559684499","https://openalex.org/W4306249609","https://openalex.org/W4392400787","https://openalex.org/W3105346980","https://openalex.org/W2380665405"],"abstract_inverted_index":{"A":[0],"novel":[1],"metaheuristic":[2],"optimization":[3,7,57],"algorithm,":[4],"named":[5],"supply-demand-based":[6],"(SDO),":[8],"is":[9,15,43,69,97],"presented":[10],"in":[11,24,76,100],"this":[12],"paper.":[13],"SDO":[14,68,96],"a":[16],"swarm-based":[17],"optimizer":[18],"motivated":[19],"by":[20],"the":[21,30,62,90],"supply-demand":[22],"mechanism":[23],"economics.":[25],"This":[26],"algorithm":[27,42],"mimics":[28],"both":[29],"demand":[31],"relation":[32,37],"of":[33,38,78,102],"consumers":[34],"and":[35,54,84,107],"supply":[36],"producers.":[39],"The":[40,59,87,110],"proposed":[41],"compared":[44],"with":[45],"other":[46],"state-of-the-art":[47],"counterparts":[48],"on":[49,61,89],"29":[50],"benchmark":[51],"test":[52,64],"functions":[53,65],"six":[55],"engineering":[56,92],"problems.":[58],"results":[60,75,88],"unconstrained":[63],"prove":[66],"that":[67,95],"able":[70],"to":[71],"provide":[72],"very":[73],"promising":[74],"terms":[77,101],"exploration,":[79],"exploitation,":[80],"local":[81],"optima":[82],"avoidance,":[83],"convergence":[85,105],"rate.":[86],"constrained":[91],"problems":[93],"suggest":[94],"considerately":[98],"competitive":[99],"computational":[103],"expense,":[104],"rate,":[106],"solution":[108],"accuracy.":[109],"codes":[111],"are":[112],"available":[113],"at":[114],"https://www.mathworks.com/matlabcentral/fileexchange/71764-supply-demand-based-optimization.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}