{"id":"https://openalex.org/W3092431010","doi":"https://doi.org/10.1109/access.2020.3029728","title":"An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field","display_name":"An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3092431010","doi":"https://doi.org/10.1109/access.2020.3029728","mag":"3092431010"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3029728","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3029728","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09217516.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09217516.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024065249","display_name":"Zenab Elgamal","orcid":"https://orcid.org/0000-0002-9927-5893"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Zenab Mohamed Elgamal","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-9927-5893","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041300919","display_name":"Norizan Binti Mohd Yasin","orcid":null},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norizan Binti Mohd Yasin","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091844455","display_name":"Mohammad Tubishat","orcid":"https://orcid.org/0000-0003-1464-8345"},"institutions":[{"id":"https://openalex.org/I181397559","display_name":"Asia Pacific University of Technology & Innovation","ror":"https://ror.org/03c52a632","country_code":"MY","type":"education","lineage":["https://openalex.org/I181397559"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohammad Tubishat","raw_affiliation_strings":["School of Technology and Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-1464-8345","affiliations":[{"raw_affiliation_string":"School of Technology and Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I181397559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062866950","display_name":"Mohammed Alswaitti","orcid":"https://orcid.org/0000-0003-0580-6954"},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohammed Alswaitti","raw_affiliation_strings":["School of Electrical and Computer Engineering (ICT), Xiamen University Malaysia, Sepang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-0580-6954","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering (ICT), Xiamen University Malaysia, Sepang, Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091500375","display_name":"Seyedali Mirjalili","orcid":"https://orcid.org/0000-0002-1443-9458"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210142395","display_name":"Torrens University Australia","ror":"https://ror.org/0351xae06","country_code":"AU","type":"education","lineage":["https://openalex.org/I4210142395"]}],"countries":["AU","KR"],"is_corresponding":false,"raw_author_name":"Seyedali Mirjalili","raw_affiliation_strings":["Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Fortitude Valley, QLD, Australia","Yonsei Frontier Laboratory, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1443-9458","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Fortitude Valley, QLD, Australia","institution_ids":["https://openalex.org/I4210142395"]},{"raw_affiliation_string":"Yonsei Frontier Laboratory, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.4577,"has_fulltext":true,"cited_by_count":186,"citation_normalized_percentile":{"value":0.98930098,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"186638","last_page":"186652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.911300003528595,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/metaheuristic","display_name":"Metaheuristic","score":0.6965591311454773},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6135165095329285},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6003745794296265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5657657384872437},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5499290823936462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5351976156234741},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4962065815925598},{"id":"https://openalex.org/keywords/hill-climbing","display_name":"Hill climbing","score":0.4640011191368103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4437546133995056},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4223252534866333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4185945689678192},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.4136230945587158},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2874700427055359}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6965591311454773},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6135165095329285},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6003745794296265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5657657384872437},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5499290823936462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5351976156234741},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4962065815925598},{"id":"https://openalex.org/C135450995","wikidata":"https://www.wikidata.org/wiki/Q820272","display_name":"Hill climbing","level":2,"score":0.4640011191368103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4437546133995056},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4223252534866333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4185945689678192},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.4136230945587158},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2874700427055359},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2020.3029728","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3029728","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09217516.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7212c74765e14d9485cfb24322052941","is_oa":true,"landing_page_url":"https://doaj.org/article/7212c74765e14d9485cfb24322052941","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 8, Pp 186638-186652 (2020)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/30144436","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/398769","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/398769","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"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":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3029728","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3029728","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09217516.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322604","display_name":"Universiti Malaya","ror":"https://ror.org/00rzspn62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092431010.pdf","grobid_xml":"https://content.openalex.org/works/W3092431010.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1444952417","https://openalex.org/W1493357981","https://openalex.org/W1982356933","https://openalex.org/W1985258161","https://openalex.org/W2024060531","https://openalex.org/W2064815387","https://openalex.org/W2173470513","https://openalex.org/W2287654067","https://openalex.org/W2299619383","https://openalex.org/W2461302873","https://openalex.org/W2585392941","https://openalex.org/W2593487812","https://openalex.org/W2600995621","https://openalex.org/W2609220535","https://openalex.org/W2612473079","https://openalex.org/W2742961367","https://openalex.org/W2765154765","https://openalex.org/W2767768852","https://openalex.org/W2782136875","https://openalex.org/W2790662215","https://openalex.org/W2793026107","https://openalex.org/W2889083964","https://openalex.org/W2901421269","https://openalex.org/W2901730235","https://openalex.org/W2902016849","https://openalex.org/W2919979744","https://openalex.org/W2921793854","https://openalex.org/W2924610876","https://openalex.org/W2934314296","https://openalex.org/W2937078632","https://openalex.org/W2944193307","https://openalex.org/W2945163040","https://openalex.org/W2946027615","https://openalex.org/W2947441756","https://openalex.org/W2949607402","https://openalex.org/W2955375062","https://openalex.org/W2955849703","https://openalex.org/W2974173314","https://openalex.org/W2988847635","https://openalex.org/W2991490332","https://openalex.org/W2991555241","https://openalex.org/W2992674204","https://openalex.org/W2998398504","https://openalex.org/W3015778920","https://openalex.org/W3024467109","https://openalex.org/W3039665270","https://openalex.org/W3044553173","https://openalex.org/W4238530616","https://openalex.org/W6646789938"],"related_works":["https://openalex.org/W1232705","https://openalex.org/W57712993","https://openalex.org/W2460653416","https://openalex.org/W2053571861","https://openalex.org/W2077160445","https://openalex.org/W1939200287","https://openalex.org/W2082305040","https://openalex.org/W2022341304","https://openalex.org/W4211249017","https://openalex.org/W2138041878"],"abstract_inverted_index":{"Harris":[0,63],"Hawks":[1,20,64],"Optimization":[2,65,163,168,174],"(HHO)":[3],"algorithm":[4,113,217],"is":[5,67,82,106],"a":[6,57],"new":[7],"metaheuristic":[8,59],"algorithm,":[9,130],"inspired":[10],"by":[11],"the":[12,75,85,89,96,100,109,115,125,128,140,151,187,206,214,219,224,227],"cooperative":[13],"behavior":[14],"and":[15,41,49,154,157,177,201,218],"chasing":[16],"style":[17],"of":[18,92,127,189,226],"Harris'":[19],"in":[21,99],"nature":[22],"called":[23],"surprise":[24],"pounce.":[25],"HHO":[26,36,77,93,121,153,216],"demonstrated":[27],"promising":[28],"results":[29],"compared":[30,149],"to":[31,52,74,83,94,107,114,119],"other":[32,220],"optimization":[33,221],"methods.":[34],"However,":[35],"suffers":[37],"from":[38,139],"local":[39],"optima":[40],"population":[42,97],"diversity":[43,98],"drawbacks.":[44],"To":[45,123],"overcome":[46],"these":[47],"limitations":[48],"adapt":[50],"it":[51],"solve":[53],"feature":[54],"selection":[55],"problems,":[56],"novel":[58],"optimizer,":[60],"namely":[61],"Chaotic":[62],"(CHHO),":[66],"proposed.":[68],"Two":[69],"main":[70],"improvements":[71],"are":[72],"suggested":[73],"standard":[76,215],"algorithm.":[78],"The":[79,103,145,182],"first":[80],"improvement":[81,105],"apply":[84],"chaotic":[86],"maps":[87],"at":[88],"initialization":[90],"phase":[91],"enhance":[95],"search":[101],"space.":[102],"second":[104],"use":[108],"Simulated":[110],"Annealing":[111],"(SA)":[112],"current":[116],"best":[117],"solution":[118],"improve":[120],"exploitation.":[122],"validate":[124],"performance":[126],"proposed":[129,146],"CHHO":[131,147,209],"was":[132,148],"applied":[133],"on":[134,205,223],"14":[135],"medical":[136,228],"benchmark":[137],"datasets":[138],"UCI":[141],"machine":[142],"learning":[143],"repository.":[144],"with":[150],"original":[152],"some":[155],"famous":[156],"recent":[158],"metaheuristics":[159],"algorithms,":[160],"containing":[161],"Grasshopper":[162],"Algorithm":[164,171,175],"(GOA),":[165],"Particle":[166],"Swarm":[167],"(PSO),":[169],"Genetic":[170],"(GA),":[172],"Butterfly":[173],"(BOA),":[176],"Ant":[178],"Lion":[179],"Optimizer":[180],"(ALO).":[181],"used":[183],"evaluation":[184],"metrics":[185],"include":[186],"number":[188],"selected":[190],"features,":[191],"classification":[192],"accuracy,":[193],"fitness":[194],"values,":[195],"Wilcoxon's":[196],"statistical":[197],"test":[198],"($P$":[199],"-value),":[200],"convergence":[202],"curve.":[203],"Based":[204],"achieved":[207],"results,":[208],"confirms":[210],"its":[211],"superiority":[212],"over":[213],"algorithms":[222],"majority":[225],"datasets.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":39},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
