{"id":"https://openalex.org/W4205253085","doi":"https://doi.org/10.3390/a15010023","title":"A Reward Population-Based Differential Genetic Harmony Search Algorithm","display_name":"A Reward Population-Based Differential Genetic Harmony Search Algorithm","publication_year":2022,"publication_date":"2022-01-14","ids":{"openalex":"https://openalex.org/W4205253085","doi":"https://doi.org/10.3390/a15010023"},"language":"en","primary_location":{"id":"doi:10.3390/a15010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15010023","pdf_url":"https://www.mdpi.com/1999-4893/15/1/23/pdf?version=1642154451","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/1/23/pdf?version=1642154451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108052724","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-6809-0696"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Department of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6809-0696","affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403784","display_name":"Jiacheng Li","orcid":"https://orcid.org/0000-0002-9595-4346"},"institutions":[{"id":"https://openalex.org/I41802502","display_name":"Kanagawa University","ror":"https://ror.org/02j6c0d67","country_code":"JP","type":"education","lineage":["https://openalex.org/I41802502"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiacheng Li","raw_affiliation_strings":["Department of Electrical, Electronics and Information Engineering, Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronics and Information Engineering, Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan","institution_ids":["https://openalex.org/I41802502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065422134","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-1857-8233"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["Department of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1857-8233","affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, Faculty of Science and Engineering, Hosei University, Tokyo 184-8584, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108052724"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.9279,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77164771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"15","issue":"1","first_page":"23","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998000264167786,"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":0.9998000264167786,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9916999936103821,"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/harmony-search","display_name":"Harmony search","score":0.9450774192810059},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6754109263420105},{"id":"https://openalex.org/keywords/harmony","display_name":"Harmony (color)","score":0.6469358801841736},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5291987657546997},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5214687585830688},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.5207083821296692},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.473012238740921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4229111969470978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3869260847568512},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3361867666244507}],"concepts":[{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.9450774192810059},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6754109263420105},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.6469358801841736},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5291987657546997},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5214687585830688},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.5207083821296692},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.473012238740921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4229111969470978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3869260847568512},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3361867666244507},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a15010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15010023","pdf_url":"https://www.mdpi.com/1999-4893/15/1/23/pdf?version=1642154451","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4d9c54e554bf4b08b853e4909bf4b163","is_oa":true,"landing_page_url":"https://doaj.org/article/4d9c54e554bf4b08b853e4909bf4b163","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":"Algorithms, Vol 15, Iss 1, p 23 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/1/23/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15010023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 15; Issue 1; Pages: 23","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a15010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15010023","pdf_url":"https://www.mdpi.com/1999-4893/15/1/23/pdf?version=1642154451","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205253085.pdf","grobid_xml":"https://content.openalex.org/works/W4205253085.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W148936622","https://openalex.org/W1485997149","https://openalex.org/W1980152637","https://openalex.org/W1993885071","https://openalex.org/W2018870565","https://openalex.org/W2034662403","https://openalex.org/W2046609661","https://openalex.org/W2061935875","https://openalex.org/W2095494658","https://openalex.org/W2099239187","https://openalex.org/W2148688032","https://openalex.org/W2159427933","https://openalex.org/W2361955724","https://openalex.org/W2371674835","https://openalex.org/W2765311105","https://openalex.org/W2769780651","https://openalex.org/W2898306420","https://openalex.org/W2909168904","https://openalex.org/W3023476476","https://openalex.org/W3041338387","https://openalex.org/W3111631566","https://openalex.org/W3118408813","https://openalex.org/W3134215744","https://openalex.org/W3194899037","https://openalex.org/W4243009027","https://openalex.org/W4247864970","https://openalex.org/W6655069275","https://openalex.org/W6666023803","https://openalex.org/W6674775966","https://openalex.org/W7017558825"],"related_works":["https://openalex.org/W3206863852","https://openalex.org/W2030191456","https://openalex.org/W2004233083","https://openalex.org/W2381760618","https://openalex.org/W2270416892","https://openalex.org/W2768113330","https://openalex.org/W2713852472","https://openalex.org/W2059200668","https://openalex.org/W2019813799","https://openalex.org/W2149877711"],"abstract_inverted_index":{"To":[0],"overcome":[1],"the":[2,5,49,53,61,63,66,73,91,94,100,111,117,120,130,138,142,169,178],"shortcomings":[3],"of":[4,47,52,93,110,113,119,141,180],"harmony":[6,25,56,95,101,144,150,155,162,174],"search":[7,18,26,57,146,151,163,175,184],"algorithm,":[8,32,147,152,156],"such":[9],"as":[10],"its":[11],"slow":[12],"convergence":[13],"rate":[14,104],"and":[15,41,99,132,157,189],"poor":[16],"global":[17,183],"ability,":[19,185],"a":[20,33,78,133,181],"reward":[21,43,74,80,148,158,170],"population-based":[22,159,171],"differential":[23,54,153,160,172],"genetic":[24,55,154,161,173],"algorithm":[27,176],"is":[28,35,58,70],"proposed.":[29],"In":[30],"this":[31],"population":[34,64,75,149],"divided":[36],"into":[37],"four":[38],"ordinary":[39],"sub-populations":[40],"one":[42],"sub-population,":[44],"for":[45,129],"each":[46],"which":[48],"evolution":[50],"strategy":[51],"used.":[59],"After":[60],"evolution,":[62],"with":[65,72],"optimal":[67],"average":[68],"fitness":[69],"combined":[71],"to":[76],"produce":[77],"new":[79],"population.":[81],"During":[82],"an":[83,108],"experiment,":[84,131],"tests":[85],"were":[86,127],"conducted":[87],"first":[88],"on":[89,116,137],"determining":[90],"value":[92],"memory":[96,102,145],"size":[97],"(HMS)":[98],"consideration":[103],"(HMCR),":[105],"followed":[106],"by":[107],"analysis":[109],"effect":[112],"their":[114],"values":[115],"performance":[118],"proposed":[121],"algorithm.":[122,164],"Then,":[123],"six":[124],"benchmark":[125],"functions":[126],"selected":[128],"comparison":[134],"was":[135],"made":[136],"calculation":[139],"results":[140],"standard":[143],"The":[165],"result":[166],"suggests":[167],"that":[168],"has":[177],"merits":[179],"strong":[182],"high":[186],"solving":[187],"accuracy,":[188],"satisfactory":[190],"stability.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
