{"id":"https://openalex.org/W2510896242","doi":"https://doi.org/10.1142/s0218001417590030","title":"Hybrid Invasive Weed Optimization Algorithm for Parameter Estimation of Pharmacokinetic Model","display_name":"Hybrid Invasive Weed Optimization Algorithm for Parameter Estimation of Pharmacokinetic Model","publication_year":2016,"publication_date":"2016-08-23","ids":{"openalex":"https://openalex.org/W2510896242","doi":"https://doi.org/10.1142/s0218001417590030","mag":"2510896242"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001417590030","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417590030","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","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/A5069076046","display_name":"Tan Deng","orcid":"https://orcid.org/0000-0003-4945-9974"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tan Deng","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, P. R. China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, P. R. China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68419854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":"03","first_page":"1759003","last_page":"1759003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9850999712944031,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9850999712944031,"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/T11407","display_name":"Innovative Microfluidic and Catalytic Techniques Innovation","score":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6724839806556702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5923640131950378},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5755530595779419},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5525262355804443},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.5524899363517761},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5240557193756104},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5027937889099121},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4800516366958618},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4788103699684143},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4564201831817627},{"id":"https://openalex.org/keywords/weed","display_name":"Weed","score":0.4237819314002991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3134074807167053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17484062910079956},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07393160462379456}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6724839806556702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5923640131950378},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5755530595779419},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5525262355804443},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.5524899363517761},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5240557193756104},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5027937889099121},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4800516366958618},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4788103699684143},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4564201831817627},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.4237819314002991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3134074807167053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17484062910079956},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07393160462379456},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001417590030","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417590030","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1454063723","https://openalex.org/W1966218999","https://openalex.org/W1970331234","https://openalex.org/W1977019464","https://openalex.org/W1978760614","https://openalex.org/W1981013195","https://openalex.org/W1983002351","https://openalex.org/W1989045535","https://openalex.org/W1998393874","https://openalex.org/W2006509901","https://openalex.org/W2007049364","https://openalex.org/W2007707492","https://openalex.org/W2007999626","https://openalex.org/W2010873252","https://openalex.org/W2021126061","https://openalex.org/W2022317397","https://openalex.org/W2025148441","https://openalex.org/W2032685209","https://openalex.org/W2066413987","https://openalex.org/W2079333735","https://openalex.org/W2092226493","https://openalex.org/W2115625429","https://openalex.org/W2121023522","https://openalex.org/W2152710595","https://openalex.org/W2160600980","https://openalex.org/W2172250608","https://openalex.org/W2212914804","https://openalex.org/W2285812438","https://openalex.org/W2359933922","https://openalex.org/W2371944989"],"related_works":["https://openalex.org/W2157457846","https://openalex.org/W1584821869","https://openalex.org/W2593562831","https://openalex.org/W3012529405","https://openalex.org/W2469187828","https://openalex.org/W2390063414","https://openalex.org/W1536445513","https://openalex.org/W2906314692","https://openalex.org/W3189926999","https://openalex.org/W2787857227"],"abstract_inverted_index":{"Given":[0],"that":[1,67,101],"the":[2,12,39,49,53,57,68,110,121],"traditional":[3,76],"methods":[4],"of":[5,14,20,59,82,94],"estimating":[6],"pharmacokinetic":[7,111],"parameters":[8],"are":[9],"constrained":[10],"by":[11,37,56],"sensitivity":[13],"their":[15],"initial":[16],"value":[17],"and":[18,42,90,117],"incapability":[19],"evolutionary":[21],"algorithm":[22,36,51,103],"to":[23,108],"determine":[24],"search":[25],"range,":[26],"this":[27],"paper":[28],"proposes":[29],"a":[30,105],"hybrid":[31],"invasive":[32,43],"weed":[33,44],"optimization":[34,45,55],"(HIWO)":[35],"combining":[38],"Hooke\u2013Jeeves":[40],"(HJ)":[41],"(IWO)":[46],"algorithm.":[47],"Using":[48],"HIWO":[50,102],"for":[52],"parameter":[54],"experiment":[58],"extravascular":[60],"administration":[61],"two-compartment":[62],"model,":[63],"we":[64],"can":[65],"see":[66],"proposed":[69],"method":[70,78,107],"is":[71,104],"not":[72],"only":[73],"better":[74,87],"than":[75,88,120],"feathering":[77],"(FM)":[79],"in":[80,92],"terms":[81,93],"numerical":[83],"stability,":[84],"but":[85],"also":[86],"HJ":[89],"IWO":[91],"error":[95],"minimization.":[96],"The":[97],"experimental":[98],"results":[99],"show":[100],"feasible":[106],"optimize":[109],"parameters,":[112],"which":[113],"has":[114],"higher":[115],"precision":[116],"stronger":[118],"robustness":[119],"other":[122],"techniques.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
