{"id":"https://openalex.org/W3035573586","doi":"https://doi.org/10.1109/access.2020.3002555","title":"An Improved Farmland Fertility Algorithm for Global Function Optimization","display_name":"An Improved Farmland Fertility Algorithm for Global Function Optimization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3035573586","doi":"https://doi.org/10.1109/access.2020.3002555","mag":"3035573586"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3002555","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3002555","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09117088.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/ielx7/6287639/8948470/09117088.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100646858","display_name":"Yanjiao Wang","orcid":"https://orcid.org/0000-0003-3333-7438"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Jiao Wang","raw_affiliation_strings":["School of Electrical Engineering, Northeast Electric Power University, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0003-3333-7438","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002275301","display_name":"Ye Chen","orcid":"https://orcid.org/0000-0002-8055-9220"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Chen","raw_affiliation_strings":["School of Electrical Engineering, Northeast Electric Power University, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-8055-9220","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7823,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78194675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"111850","last_page":"111874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9825000166893005,"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":0.9825000166893005,"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/T11106","display_name":"Data Management and Algorithms","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T14157","display_name":"Environmental and Agricultural Sciences","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747867465019226},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6109631657600403},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5756359696388245},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5018846988677979},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.4906734228134155},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4547114372253418},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4335725009441376},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.42075276374816895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2726535201072693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2555268406867981},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.24983203411102295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17711511254310608},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07545527815818787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747867465019226},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6109631657600403},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5756359696388245},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5018846988677979},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.4906734228134155},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4547114372253418},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4335725009441376},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.42075276374816895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2726535201072693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2555268406867981},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.24983203411102295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17711511254310608},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07545527815818787},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3002555","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3002555","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09117088.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:a6d956d8a0e84b9cb601f36ead8870dc","is_oa":true,"landing_page_url":"https://doaj.org/article/a6d956d8a0e84b9cb601f36ead8870dc","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 111850-111874 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3002555","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3002555","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09117088.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":[{"display_name":"Life in Land","score":0.5,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G143844860","display_name":null,"funder_award_id":"201750219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3938996834","display_name":null,"funder_award_id":"61501107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6539710649","display_name":null,"funder_award_id":"201750227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G798732626","display_name":null,"funder_award_id":"61603073","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035573586.pdf","grobid_xml":"https://content.openalex.org/works/W3035573586.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1211512237","https://openalex.org/W1444952417","https://openalex.org/W1861386474","https://openalex.org/W1894798256","https://openalex.org/W2293237611","https://openalex.org/W2336828274","https://openalex.org/W2513970330","https://openalex.org/W2530002212","https://openalex.org/W2605292282","https://openalex.org/W2742872593","https://openalex.org/W2778726590","https://openalex.org/W2780688515","https://openalex.org/W2782513934","https://openalex.org/W2784926650","https://openalex.org/W2790845340","https://openalex.org/W2800845050","https://openalex.org/W2843527396","https://openalex.org/W2884377042","https://openalex.org/W2890434332","https://openalex.org/W2890544814","https://openalex.org/W2899803377","https://openalex.org/W2903353617","https://openalex.org/W2905103003","https://openalex.org/W2914343388","https://openalex.org/W2915062141","https://openalex.org/W2917884856","https://openalex.org/W2919191060","https://openalex.org/W2921893399","https://openalex.org/W2922190955","https://openalex.org/W2940815738","https://openalex.org/W2954391668","https://openalex.org/W2969750745","https://openalex.org/W2970404044","https://openalex.org/W2998148206","https://openalex.org/W6725550920","https://openalex.org/W6755825118","https://openalex.org/W6759768743","https://openalex.org/W6767385159"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W4293472652","https://openalex.org/W1120847856","https://openalex.org/W2130386332"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"improved":[4],"farmland":[5,18],"fertility":[6,19],"(IFF)":[7],"algorithm":[8,53],"to":[9,69,92,122],"increase":[10],"the":[11,17,41,46,52,76,94,98,106,109,113,116,120,124,131,142],"convergence":[12,159],"rate":[13,160],"and":[14,27,55,101,115,130,161],"precision":[15],"of":[16,45,81,97,108,139,158],"algorithm.":[20],"A":[21,79],"search":[22,50,95],"mode":[23],"that":[24,147],"combines":[25],"subspace":[26],"full":[28],"space":[29],"is":[30,66,89,127],"proposed.":[31],"The":[32,58,137],"two":[33],"modes":[34],"are":[35,134],"automatically":[36],"converted":[37],"in":[38,156],"accordance":[39],"with":[40,62,75],"current":[42,99,117],"learning":[43,88],"level":[44],"population.":[47],"Such":[48],"hybrid":[49],"balances":[51],"exploration":[54],"exploitation":[56],"capabilities.":[57],"global":[59],"memory":[60,87],"capacity":[61],"a":[63],"fixed":[64],"size":[65,72],"processed":[67],"self-adaptively":[68],"make":[70],"its":[71],"adaptively":[73],"change":[74],"iterative":[77],"process.":[78],"mechanism":[80],"soil":[82],"fusion":[83],"based":[84],"on":[85,141],"neighbor":[86],"also":[90],"proposed":[91],"expand":[93],"range":[96],"population":[100,103,114],"ensure":[102],"diversity.":[104],"On":[105],"basis":[107],"cosine":[110],"similarity":[111],"between":[112],"optimal":[118],"individual,":[119],"area":[121],"which":[123],"individual":[125],"belongs":[126],"periodically":[128],"redivided,":[129],"computing":[132],"resources":[133],"reasonably":[135],"allocated.":[136],"results":[138],"experiments":[140],"CEC2013":[143],"test":[144],"suite":[145],"indicate":[146],"IFF":[148],"has":[149],"evident":[150],"advantages":[151],"over":[152],"seven":[153],"excellent":[154],"algorithms":[155],"terms":[157],"precision.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}