Calibration of a greenhouse climate model using evolutionary algorithms
This paper presents a comparison of different evolutionary algorithms (EAs), such as Genetic Algorithms (GAs), Evolutionary Strategies (ES) and Evolutionary Programming (EP) to calibrate parameters of a climate model that describes the behaviour of air temperature and relative humidity (RH) within a...
Gespeichert in:
| Veröffentlicht in: | Biosystems engineering 2009-09, Vol.104 (1), p.135-142 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 142 |
|---|---|
| container_issue | 1 |
| container_start_page | 135 |
| container_title | Biosystems engineering |
| container_volume | 104 |
| creator | Guzmán-Cruz, R. Castañeda-Miranda, R. García-Escalante, J.J. López-Cruz, I.L. Lara-Herrera, A. de la Rosa, J.I. |
| description | This paper presents a comparison of different evolutionary algorithms (EAs), such as Genetic Algorithms (GAs), Evolutionary Strategies (ES) and Evolutionary Programming (EP) to calibrate parameters of a climate model that describes the behaviour of air temperature and relative humidity (RH) within a greenhouse where a tomato crop is being grown. The objective was to determine which method generates parameter values that give the best prediction of the environment of a greenhouse located in the central region of México. Simulation and analysis of the climate model show that the estimations of the inside temperature and RH are closest to the measurements when EP was used to calibrate the parameters of the greenhouse model. |
| doi_str_mv | 10.1016/j.biosystemseng.2009.06.006 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_34726605</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1537511009001871</els_id><sourcerecordid>34726605</sourcerecordid><originalsourceid>FETCH-LOGICAL-c412t-f91922ea5edf4c2bbfda19e4ec1d350d44ff6988edec7f656e4b1b02e64815a93</originalsourceid><addsrcrecordid>eNqNkFFLwzAQx4soOKefwYLoW2uSpmmLTzLmFAY-6J5Dml66jLSZSTvYtzdjY-CbT3cPv_vf3S-KHjBKMcLseZPW2vq9H6Dz0LcpQahKEUsRYhfRBOdZkeSYVJfnHqPr6Mb7DUI4LyibRIuZMLp2YtC2j62KRdw6gH5tRw-xNLoTA8SdbcDEo9d9G8POmvFAC7ePhWmt08O687fRlRLGw92pTqPV2_x79p4sPxcfs9dlIikmQ6IqXBECIodGUUnqWjUCV0BB4ibLUUOpUqwqS2hAForlDGiNa0SA0RLnosqm0dMxd-vszwh-4J32EowRPYSbeUYLwhjKA_hyBKWz3jtQfOvCN27PMeIHeXzD_8jjB3kcMR7khenH0xrhpTDKiV5qf44guCxpQUng7o-cEpaL1gVm9UUQzsICVmaUBmJ-JCBY2Wlw3EsNvYRGO5ADb6z-10W_49yYlw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>34726605</pqid></control><display><type>article</type><title>Calibration of a greenhouse climate model using evolutionary algorithms</title><source>Elsevier ScienceDirect Journals</source><creator>Guzmán-Cruz, R. ; Castañeda-Miranda, R. ; García-Escalante, J.J. ; López-Cruz, I.L. ; Lara-Herrera, A. ; de la Rosa, J.I.</creator><creatorcontrib>Guzmán-Cruz, R. ; Castañeda-Miranda, R. ; García-Escalante, J.J. ; López-Cruz, I.L. ; Lara-Herrera, A. ; de la Rosa, J.I.</creatorcontrib><description>This paper presents a comparison of different evolutionary algorithms (EAs), such as Genetic Algorithms (GAs), Evolutionary Strategies (ES) and Evolutionary Programming (EP) to calibrate parameters of a climate model that describes the behaviour of air temperature and relative humidity (RH) within a greenhouse where a tomato crop is being grown. The objective was to determine which method generates parameter values that give the best prediction of the environment of a greenhouse located in the central region of México. Simulation and analysis of the climate model show that the estimations of the inside temperature and RH are closest to the measurements when EP was used to calibrate the parameters of the greenhouse model.</description><identifier>ISSN: 1537-5110</identifier><identifier>EISSN: 1537-5129</identifier><identifier>DOI: 10.1016/j.biosystemseng.2009.06.006</identifier><identifier>CODEN: BEINBJ</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Agricultural machinery and engineering ; Agronomy. Soil science and plant productions ; algorithms ; Biological and medical sciences ; calibration ; climate models ; evolutionary algorithms ; Fundamental and applied biological sciences. Psychology ; Generalities. Biometrics, experimentation. Remote sensing ; greenhouse experimentation ; greenhouses ; prediction ; simulation models</subject><ispartof>Biosystems engineering, 2009-09, Vol.104 (1), p.135-142</ispartof><rights>2009 IAgrE</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-f91922ea5edf4c2bbfda19e4ec1d350d44ff6988edec7f656e4b1b02e64815a93</citedby><cites>FETCH-LOGICAL-c412t-f91922ea5edf4c2bbfda19e4ec1d350d44ff6988edec7f656e4b1b02e64815a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1537511009001871$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21884742$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Guzmán-Cruz, R.</creatorcontrib><creatorcontrib>Castañeda-Miranda, R.</creatorcontrib><creatorcontrib>García-Escalante, J.J.</creatorcontrib><creatorcontrib>López-Cruz, I.L.</creatorcontrib><creatorcontrib>Lara-Herrera, A.</creatorcontrib><creatorcontrib>de la Rosa, J.I.</creatorcontrib><title>Calibration of a greenhouse climate model using evolutionary algorithms</title><title>Biosystems engineering</title><description>This paper presents a comparison of different evolutionary algorithms (EAs), such as Genetic Algorithms (GAs), Evolutionary Strategies (ES) and Evolutionary Programming (EP) to calibrate parameters of a climate model that describes the behaviour of air temperature and relative humidity (RH) within a greenhouse where a tomato crop is being grown. The objective was to determine which method generates parameter values that give the best prediction of the environment of a greenhouse located in the central region of México. Simulation and analysis of the climate model show that the estimations of the inside temperature and RH are closest to the measurements when EP was used to calibrate the parameters of the greenhouse model.</description><subject>Agricultural machinery and engineering</subject><subject>Agronomy. Soil science and plant productions</subject><subject>algorithms</subject><subject>Biological and medical sciences</subject><subject>calibration</subject><subject>climate models</subject><subject>evolutionary algorithms</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Generalities. Biometrics, experimentation. Remote sensing</subject><subject>greenhouse experimentation</subject><subject>greenhouses</subject><subject>prediction</subject><subject>simulation models</subject><issn>1537-5110</issn><issn>1537-5129</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqNkFFLwzAQx4soOKefwYLoW2uSpmmLTzLmFAY-6J5Dml66jLSZSTvYtzdjY-CbT3cPv_vf3S-KHjBKMcLseZPW2vq9H6Dz0LcpQahKEUsRYhfRBOdZkeSYVJfnHqPr6Mb7DUI4LyibRIuZMLp2YtC2j62KRdw6gH5tRw-xNLoTA8SdbcDEo9d9G8POmvFAC7ePhWmt08O687fRlRLGw92pTqPV2_x79p4sPxcfs9dlIikmQ6IqXBECIodGUUnqWjUCV0BB4ibLUUOpUqwqS2hAForlDGiNa0SA0RLnosqm0dMxd-vszwh-4J32EowRPYSbeUYLwhjKA_hyBKWz3jtQfOvCN27PMeIHeXzD_8jjB3kcMR7khenH0xrhpTDKiV5qf44guCxpQUng7o-cEpaL1gVm9UUQzsICVmaUBmJ-JCBY2Wlw3EsNvYRGO5ADb6z-10W_49yYlw</recordid><startdate>20090901</startdate><enddate>20090901</enddate><creator>Guzmán-Cruz, R.</creator><creator>Castañeda-Miranda, R.</creator><creator>García-Escalante, J.J.</creator><creator>López-Cruz, I.L.</creator><creator>Lara-Herrera, A.</creator><creator>de la Rosa, J.I.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20090901</creationdate><title>Calibration of a greenhouse climate model using evolutionary algorithms</title><author>Guzmán-Cruz, R. ; Castañeda-Miranda, R. ; García-Escalante, J.J. ; López-Cruz, I.L. ; Lara-Herrera, A. ; de la Rosa, J.I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-f91922ea5edf4c2bbfda19e4ec1d350d44ff6988edec7f656e4b1b02e64815a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agricultural machinery and engineering</topic><topic>Agronomy. Soil science and plant productions</topic><topic>algorithms</topic><topic>Biological and medical sciences</topic><topic>calibration</topic><topic>climate models</topic><topic>evolutionary algorithms</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Generalities. Biometrics, experimentation. Remote sensing</topic><topic>greenhouse experimentation</topic><topic>greenhouses</topic><topic>prediction</topic><topic>simulation models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guzmán-Cruz, R.</creatorcontrib><creatorcontrib>Castañeda-Miranda, R.</creatorcontrib><creatorcontrib>García-Escalante, J.J.</creatorcontrib><creatorcontrib>López-Cruz, I.L.</creatorcontrib><creatorcontrib>Lara-Herrera, A.</creatorcontrib><creatorcontrib>de la Rosa, J.I.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Biosystems engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guzmán-Cruz, R.</au><au>Castañeda-Miranda, R.</au><au>García-Escalante, J.J.</au><au>López-Cruz, I.L.</au><au>Lara-Herrera, A.</au><au>de la Rosa, J.I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Calibration of a greenhouse climate model using evolutionary algorithms</atitle><jtitle>Biosystems engineering</jtitle><date>2009-09-01</date><risdate>2009</risdate><volume>104</volume><issue>1</issue><spage>135</spage><epage>142</epage><pages>135-142</pages><issn>1537-5110</issn><eissn>1537-5129</eissn><coden>BEINBJ</coden><abstract>This paper presents a comparison of different evolutionary algorithms (EAs), such as Genetic Algorithms (GAs), Evolutionary Strategies (ES) and Evolutionary Programming (EP) to calibrate parameters of a climate model that describes the behaviour of air temperature and relative humidity (RH) within a greenhouse where a tomato crop is being grown. The objective was to determine which method generates parameter values that give the best prediction of the environment of a greenhouse located in the central region of México. Simulation and analysis of the climate model show that the estimations of the inside temperature and RH are closest to the measurements when EP was used to calibrate the parameters of the greenhouse model.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.biosystemseng.2009.06.006</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1537-5110 |
| ispartof | Biosystems engineering, 2009-09, Vol.104 (1), p.135-142 |
| issn | 1537-5110 1537-5129 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_34726605 |
| source | Elsevier ScienceDirect Journals |
| subjects | Agricultural machinery and engineering Agronomy. Soil science and plant productions algorithms Biological and medical sciences calibration climate models evolutionary algorithms Fundamental and applied biological sciences. Psychology Generalities. Biometrics, experimentation. Remote sensing greenhouse experimentation greenhouses prediction simulation models |
| title | Calibration of a greenhouse climate model using evolutionary algorithms |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T09%3A21%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Calibration%20of%20a%20greenhouse%20climate%20model%20using%20evolutionary%20algorithms&rft.jtitle=Biosystems%20engineering&rft.au=Guzm%C3%A1n-Cruz,%20R.&rft.date=2009-09-01&rft.volume=104&rft.issue=1&rft.spage=135&rft.epage=142&rft.pages=135-142&rft.issn=1537-5110&rft.eissn=1537-5129&rft.coden=BEINBJ&rft_id=info:doi/10.1016/j.biosystemseng.2009.06.006&rft_dat=%3Cproquest_cross%3E34726605%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=34726605&rft_id=info:pmid/&rft_els_id=S1537511009001871&rfr_iscdi=true |