Real-time energy optimization of irrigation scheduling by parallel multi-objective genetic algorithms
•The methodology minimizes the cost of energy while maximizes service pressures.•Cost reductions of about 6–7% were reached for scenarios without pressure deficit.•Computation time was reduced by almost 80%.•The optimizer was implemented as a series of web services by API-REST technology. The presen...
Saved in:
| Published in: | Agricultural water management Vol. 227; p. 105857 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
20.01.2020
|
| Subjects: | |
| ISSN: | 0378-3774, 1873-2283 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | •The methodology minimizes the cost of energy while maximizes service pressures.•Cost reductions of about 6–7% were reached for scenarios without pressure deficit.•Computation time was reduced by almost 80%.•The optimizer was implemented as a series of web services by API-REST technology.
The present work is motivated by the need to reduce the energy costs arising from the pressure demands of drip and sprinkling irrigation, compounded by the increase in the energy price in recent years. Researchers have demonstrated that proper operation of the irrigation network reduces associated pumping costs. The main challenge was to obtain the optimal operation parameters on near real-time due to the fact that the high complexity of the optimization problem requires a great computational effort. The classic approach to the problem imposes a strict fulfilment of minimum pressures as a restriction. This study, however, presents a new methodology for the reordering of irrigation scheduling, incorporating the constraint of daily volume requests for each hydrant. The methodology is capable of minimizing the cost of energy while maximizing pressures at the critical hydrants. Cost reductions of about 6–7% were reached for scenarios without pressure deficit for the case study. Greater computational efficiency was achieved by posing the problem from a multi-objective approach, on the one hand, and by establishing the parallel evaluation of the objective function, on the other. The speed-up obtained by combining a reduction in the number of function evaluations thanks to the faster convergence of the multi-objective approach and the reduction of the computational time due to the parallelization of the algorithm achieved results about 10 times faster. This improvement allowed the tool to be implemented for the daily optimization of irrigation requests. |
|---|---|
| AbstractList | The present work is motivated by the need to reduce the energy costs arising from the pressure demands of drip and sprinkling irrigation, compounded by the increase in the energy price in recent years. Researchers have demonstrated that proper operation of the irrigation network reduces associated pumping costs. The main challenge was to obtain the optimal operation parameters on near real-time due to the fact that the high complexity of the optimization problem requires a great computational effort. The classic approach to the problem imposes a strict fulfilment of minimum pressures as a restriction. This study, however, presents a new methodology for the reordering of irrigation scheduling, incorporating the constraint of daily volume requests for each hydrant. The methodology is capable of minimizing the cost of energy while maximizing pressures at the critical hydrants. Cost reductions of about 6–7% were reached for scenarios without pressure deficit for the case study. Greater computational efficiency was achieved by posing the problem from a multi-objective approach, on the one hand, and by establishing the parallel evaluation of the objective function, on the other. The speed-up obtained by combining a reduction in the number of function evaluations thanks to the faster convergence of the multi-objective approach and the reduction of the computational time due to the parallelization of the algorithm achieved results about 10 times faster. This improvement allowed the tool to be implemented for the daily optimization of irrigation requests. •The methodology minimizes the cost of energy while maximizes service pressures.•Cost reductions of about 6–7% were reached for scenarios without pressure deficit.•Computation time was reduced by almost 80%.•The optimizer was implemented as a series of web services by API-REST technology. The present work is motivated by the need to reduce the energy costs arising from the pressure demands of drip and sprinkling irrigation, compounded by the increase in the energy price in recent years. Researchers have demonstrated that proper operation of the irrigation network reduces associated pumping costs. The main challenge was to obtain the optimal operation parameters on near real-time due to the fact that the high complexity of the optimization problem requires a great computational effort. The classic approach to the problem imposes a strict fulfilment of minimum pressures as a restriction. This study, however, presents a new methodology for the reordering of irrigation scheduling, incorporating the constraint of daily volume requests for each hydrant. The methodology is capable of minimizing the cost of energy while maximizing pressures at the critical hydrants. Cost reductions of about 6–7% were reached for scenarios without pressure deficit for the case study. Greater computational efficiency was achieved by posing the problem from a multi-objective approach, on the one hand, and by establishing the parallel evaluation of the objective function, on the other. The speed-up obtained by combining a reduction in the number of function evaluations thanks to the faster convergence of the multi-objective approach and the reduction of the computational time due to the parallelization of the algorithm achieved results about 10 times faster. This improvement allowed the tool to be implemented for the daily optimization of irrigation requests. |
| ArticleNumber | 105857 |
| Author | Jiménez-Bello, M.A. Alonso Campos, J.C. Martínez Alzamora, F. |
| Author_xml | – sequence: 1 givenname: J.C. surname: Alonso Campos fullname: Alonso Campos, J.C. email: joaalcam@iiama.upv.es – sequence: 2 givenname: M.A. surname: Jiménez-Bello fullname: Jiménez-Bello, M.A. email: mijibar@dihma.upv.es – sequence: 3 givenname: F. surname: Martínez Alzamora fullname: Martínez Alzamora, F. email: fmartine@hma.upv.es |
| BookMark | eNqFkDFPHDEQhS0EUg7CL0jjkmYv9nrv7C0oIpQQJCQkRGprzju7zMm7Pmwf0fHrMSwVRVKN3uh9r_hO2fEUJmTsmxRLKeT6-3YJw1_Iy1rItnxWZqWP2EIaraq6NuqYLYTSplJaN1_YaUpbIUQjGr1geI_gq0wjcpwwDgcediXRC2QKEw89pxhpmFNyj9jtPU0D3xz4DiJ4j56Pe5-pCpstukzPyIeylMlx8EOIlB_H9JWd9OATnn_cM_bn18-Hq9_V7d31zdWP28opI3PljFONq8GsZa87Ba5R0JcEnZQgVStl2_XtatOWtlIA9droxrWIsCkBe3XGLubdXQxPe0zZjpQceg8Thn2ytdKNNHKt2lJVc9XFkFLE3u4ijRAPVgr7JtVu7btU-ybVzlIL1X6iHOV3OTkC-f-wlzOLxcAzYbTJEU4OO4rFnO0C_ZN_BarbmOQ |
| CitedBy_id | crossref_primary_10_1016_j_biosystemseng_2025_104220 crossref_primary_10_3390_w12010058 crossref_primary_10_1002_ird_2771 crossref_primary_10_1016_j_energy_2020_118404 crossref_primary_10_1016_j_agwat_2023_108391 crossref_primary_10_3390_agronomy12091997 crossref_primary_10_3390_en13174470 crossref_primary_10_3390_agronomy13071907 crossref_primary_10_1007_s00500_020_04921_9 crossref_primary_10_1016_j_compag_2022_107290 crossref_primary_10_1016_j_jclepro_2021_128386 crossref_primary_10_1016_j_agwat_2021_107084 crossref_primary_10_1016_j_eja_2024_127497 crossref_primary_10_1007_s00271_021_00724_4 crossref_primary_10_1109_ACCESS_2021_3054424 crossref_primary_10_3390_w15112046 crossref_primary_10_1002_ird_2954 crossref_primary_10_3390_w14091320 crossref_primary_10_3390_w16141935 crossref_primary_10_1007_s10098_022_02290_5 |
| Cites_doi | 10.1016/j.biosystemseng.2009.12.014 10.5424/sjar/20110904-492-10 10.1109/4235.996017 10.1016/j.proeng.2017.03.279 10.1016/j.energy.2018.09.140 10.1145/1465482.1465560 10.1109/MCI.2006.329691 10.1061/(ASCE)WR.1943-5452.0000539 10.1007/s11269-013-0319-y 10.1016/j.biosystemseng.2009.09.001 10.1016/j.rser.2016.05.075 10.1016/j.agwat.2011.10.005 10.2307/2331554 10.1016/j.advengsoft.2011.05.014 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier B.V. |
| Copyright_xml | – notice: 2019 Elsevier B.V. |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.agwat.2019.105857 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Agriculture |
| EISSN | 1873-2283 |
| ExternalDocumentID | 10_1016_j_agwat_2019_105857 S0378377419305657 |
| GroupedDBID | --K --M .~1 0R~ 1B1 1RT 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM 9JN AABNK AABVA AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AATLK AAXUO ABGRD ABJNI ABMAC ABQEM ABYKQ ACDAQ ACGFS ACIUM ACLVX ACRLP ACSBN ADBBV ADEZE ADQTV AEBSH AEKER AENEX AEQOU AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BKOJK BLECG BLXMC CBWCG CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE IMUCA J1W KOM LW9 LY3 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SAB SDF SDG SES SPCBC SSA SSJ SSZ T5K Y6R ~02 ~G- ~KM 9DU AAHBH AALCJ AAQXK AATTM AAXKI AAYWO AAYXX ABFNM ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADMUD ADNMO ADVLN AEIPS AEUPX AFJKZ AFPUW AGQPQ AI. AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS FEDTE FGOYB G-2 GROUPED_DOAJ HLV HMA HVGLF HZ~ R2- SEP SEW VH1 WUQ XPP ZMT ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c381t-c8c34c2a861f7d3ac43afa86ad11a139119df95b938133aa26874c9eeabaa2ef3 |
| ISICitedReferencesCount | 25 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000525275500018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0378-3774 |
| IngestDate | Thu Oct 02 05:57:16 EDT 2025 Sat Nov 29 07:18:30 EST 2025 Tue Nov 18 21:05:49 EST 2025 Fri Feb 23 02:48:39 EST 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Online optimization Cost minimization Computational efficiency Pressure maximization |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c381t-c8c34c2a861f7d3ac43afa86ad11a139119df95b938133aa26874c9eeabaa2ef3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://www.sciencedirect.com/science/article/pii/S0378377419305657 |
| PQID | 2374181639 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_2374181639 crossref_primary_10_1016_j_agwat_2019_105857 crossref_citationtrail_10_1016_j_agwat_2019_105857 elsevier_sciencedirect_doi_10_1016_j_agwat_2019_105857 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-01-20 |
| PublicationDateYYYYMMDD | 2020-01-20 |
| PublicationDate_xml | – month: 01 year: 2020 text: 2020-01-20 day: 20 |
| PublicationDecade | 2020 |
| PublicationTitle | Agricultural water management |
| PublicationYear | 2020 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Jiménez-Bello, Martínez Alzamora, Castel, Intrigliolo (bib0075) 2011; 102 Fernández García, Rodríguez Díaz, Camacho Poyato, Montesinos (bib0040) 2013; 27 Langarita, Sánchez Chóliz, Sarasa, Duarte, Jiménez (bib0085) 2017; 68 Rodríguez-Díaz, Pérez-Urrestarazu, Camacho-Poyato, Montesinos (bib0105) 2011; 9 Alvarruiz, Martínez-Alzamora, Vidal (bib0015) 2015; 141 Sinha, Singh, Singh, Banga (bib0120) 2015 Jiménez-Bello, Royuela, Manzano, Martínez Alzamora (bib0080) 2015 Amdahl (bib0020) 1967 Dorigo, Birattari, Stutzle (bib0030) 2006; 1 Liu, Cheng, Wang, Liao, Chau, Wu, Li (bib0090) 2018; 165 Rodríguez Díaz, López Luque, Carrillo Cobo, Montesinos, Camacho Poyato (bib0110) 2009; 104 Nia, Alipouri (bib0095) 2009 Vegas Niño, Martínez Alzamora, Alonso Campos, Tzatchkov (bib0130) 2017 Jassadapakorn, Chongstitvatana (bib0065) 2011; 3 Allen, Pereira, Raes, Smith (bib0005) 1998 Durillo, Nebro (bib0035) 2011; 42 Deb, Pratap, Agarwal, Meyarivan (bib0025) 2002; 6 Grama, Gupta, Karypis, Kumar (bib0050) 2003 Rasheed, Ni, Vattam (bib0100) 2005 Iglesias-Rey, Martínez-Solano, Ribelles-Aquilar (bib0060) 2017; 186 Jiménez-Bello, Martínez Alzamora, Bou Soler, Ayala (bib0070) 2010; 105 García, Faci, Aliod, Paño, Seral, García (bib0045) 2015 Alonso, Jiménez-Bello, Martínez, Bou (bib0010) 2015 Student (bib0125) 1908; 6 Gustafson (bib0055) 1988 Rossman (bib0115) 2000; 38 García (10.1016/j.agwat.2019.105857_bib0045) 2015 Gustafson (10.1016/j.agwat.2019.105857_bib0055) 1988 Durillo (10.1016/j.agwat.2019.105857_bib0035) 2011; 42 Deb (10.1016/j.agwat.2019.105857_bib0025) 2002; 6 Allen (10.1016/j.agwat.2019.105857_bib0005) 1998 Dorigo (10.1016/j.agwat.2019.105857_bib0030) 2006; 1 Langarita (10.1016/j.agwat.2019.105857_bib0085) 2017; 68 Iglesias-Rey (10.1016/j.agwat.2019.105857_bib0060) 2017; 186 Jiménez-Bello (10.1016/j.agwat.2019.105857_bib0070) 2010; 105 Jiménez-Bello (10.1016/j.agwat.2019.105857_bib0080) 2015 Rasheed (10.1016/j.agwat.2019.105857_bib0100) 2005 Student (10.1016/j.agwat.2019.105857_bib0125) 1908; 6 Amdahl (10.1016/j.agwat.2019.105857_bib0020) 1967 Fernández García (10.1016/j.agwat.2019.105857_bib0040) 2013; 27 Rodríguez Díaz (10.1016/j.agwat.2019.105857_bib0110) 2009; 104 Rossman (10.1016/j.agwat.2019.105857_bib0115) 2000; 38 Jiménez-Bello (10.1016/j.agwat.2019.105857_bib0075) 2011; 102 Vegas Niño (10.1016/j.agwat.2019.105857_bib0130) 2017 Alonso (10.1016/j.agwat.2019.105857_bib0010) 2015 Nia (10.1016/j.agwat.2019.105857_bib0095) 2009 Rodríguez-Díaz (10.1016/j.agwat.2019.105857_bib0105) 2011; 9 Jassadapakorn (10.1016/j.agwat.2019.105857_bib0065) 2011; 3 Alvarruiz (10.1016/j.agwat.2019.105857_bib0015) 2015; 141 Liu (10.1016/j.agwat.2019.105857_bib0090) 2018; 165 Sinha (10.1016/j.agwat.2019.105857_bib0120) 2015 Grama (10.1016/j.agwat.2019.105857_bib0050) 2003 |
| References_xml | – volume: 1 start-page: 28 year: 2006 end-page: 39 ident: bib0030 article-title: Ant colony optimization publication-title: IEEE Comput. Intell. Mag. – start-page: 1355 year: 2015 end-page: 1359 ident: bib0120 article-title: Speedup genetic algorithm using C-CUDA publication-title: Proc. - 2015 5th Int. Conf. Commun. Syst. Netw. Technol. CSNT 2015 – volume: 6 start-page: 1 year: 1908 end-page: 25 ident: bib0125 article-title: The probable error of a mean publication-title: Biometrika – volume: 105 start-page: 429 year: 2010 end-page: 438 ident: bib0070 article-title: Methodology for grouping intakes of pressurised irrigation networks into sectors to minimise energy consumption publication-title: Biosyst. Eng. – volume: 104 start-page: 552 year: 2009 end-page: 561 ident: bib0110 article-title: Exploring energy saving scenarios for on-demand pressurised irrigation networks publication-title: Biosyst. Eng. – start-page: 1 year: 1998 end-page: 15 ident: bib0005 article-title: Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56 publication-title: Irrig. Drain. – volume: 3 start-page: 90 year: 2011 end-page: 96 ident: bib0065 article-title: Self-adaptation mechanism to control the diversity of the population in genetic algorithm publication-title: Int. J. Comput. Sci. Inf. Technol. – start-page: 103 year: 2005 end-page: 122 ident: bib0100 article-title: Methods for using surrogate models to speed up genetic algorithm optimization: informed operators and genetic engineering publication-title: Knowledge Incorporation in Evolutionary Computation – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: bib0025 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. – volume: 68 start-page: 1008 year: 2017 end-page: 1019 ident: bib0085 article-title: Electricity costs in irrigated agriculture: a case study for an irrigation scheme in Spain publication-title: Renew. Sustain. Energy Rev. – volume: 9 start-page: 1000 year: 2011 end-page: 1008 ident: bib0105 article-title: The paradox of irrigation scheme modernization: more efficient water use linked to higher energy demand publication-title: Span. J. Agric. Res. – year: 2017 ident: bib0130 article-title: Iniciación a la Programación con la Toolkit de Epanet v2.00.12 en un Entorno Windows – volume: 186 start-page: 626 year: 2017 end-page: 634 ident: bib0060 article-title: Extending EPANET capabilities with add-in tools publication-title: Procedia Eng. – start-page: 31 year: 2009 end-page: 36 ident: bib0095 article-title: Speeding up the genetic algorithm convergence using sequential mutation and circular gene methods publication-title: ISDA 2009 - 9th Int. Conf. Intell. Syst. Des. Appl. – start-page: 532 year: 1988 end-page: 533 ident: bib0055 article-title: Reevaluating amdahl’s law publication-title: Communications of the ACM – volume: 38 start-page: 200 year: 2000 ident: bib0115 article-title: EPANET 2: users manual publication-title: Cincinnati US Environ. Prot. Agency Natl. Risk Manag. Res. Lab. – start-page: 411 year: 2015 end-page: 420 ident: bib0045 article-title: Algoritmos y herramientas para la aplicación de estrategias de reducción de costes energéticos en sistemas de riego a presión publication-title: Actas de Las IV Jornadas de Ingeniería Del Agua – year: 2003 ident: bib0050 article-title: Introduction to Parallel Computing – volume: 42 start-page: 760 year: 2011 end-page: 771 ident: bib0035 article-title: JMetal: a Java framework for multi-objective optimization publication-title: Adv. Eng. Softw. – volume: 102 start-page: 46 year: 2011 end-page: 53 ident: bib0075 article-title: Vali dation of a methodology for grouping intakes of pressurized irrigation networks into sectors to minimize energy consumption publication-title: Agric. Water Manage. – volume: 141 start-page: 1 year: 2015 end-page: 10 ident: bib0015 article-title: Improving the efficiency of the loop method for the simulation of water distribution systems publication-title: J. Water Resour. Plan. Manag. – volume: 27 start-page: 2855 year: 2013 end-page: 2869 ident: bib0040 article-title: Optimal operation of pressurized irrigation networks with several supply sources publication-title: Water Resour. Manag. – volume: 165 start-page: 752 year: 2018 end-page: 767 ident: bib0090 article-title: Parallel chance-constrained dynamic programming for cascade hydropower system operation publication-title: Energy – start-page: 450 year: 2015 end-page: 459 ident: bib0010 article-title: Nueva metodología para optimizar la programación del riego aprovechando la diferencia de cota entre el punto de suministro y el de consumo publication-title: XXXIII Congreso Nacional de Riegos – start-page: 1 year: 2015 end-page: 11 ident: bib0080 article-title: A methodology to improve water and energy use by network sectoring and proper irrigation scheduling publication-title: 7th IWA Intenational Conference on Efficient Use and Management of Water – year: 1967 ident: bib0020 article-title: Validity of the single processor approach to achieving large scale computing capabilities publication-title: Proc. April 18-20, 1967, spring Jt. Comput. Conf. - AFIPS’ 67 483 – volume: 105 start-page: 429 year: 2010 ident: 10.1016/j.agwat.2019.105857_bib0070 article-title: Methodology for grouping intakes of pressurised irrigation networks into sectors to minimise energy consumption publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2009.12.014 – start-page: 1 year: 2015 ident: 10.1016/j.agwat.2019.105857_bib0080 article-title: A methodology to improve water and energy use by network sectoring and proper irrigation scheduling – volume: 9 start-page: 1000 year: 2011 ident: 10.1016/j.agwat.2019.105857_bib0105 article-title: The paradox of irrigation scheme modernization: more efficient water use linked to higher energy demand publication-title: Span. J. Agric. Res. doi: 10.5424/sjar/20110904-492-10 – volume: 6 start-page: 182 year: 2002 ident: 10.1016/j.agwat.2019.105857_bib0025 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/4235.996017 – volume: 186 start-page: 626 year: 2017 ident: 10.1016/j.agwat.2019.105857_bib0060 article-title: Extending EPANET capabilities with add-in tools publication-title: Procedia Eng. doi: 10.1016/j.proeng.2017.03.279 – volume: 165 start-page: 752 year: 2018 ident: 10.1016/j.agwat.2019.105857_bib0090 article-title: Parallel chance-constrained dynamic programming for cascade hydropower system operation publication-title: Energy doi: 10.1016/j.energy.2018.09.140 – start-page: 31 year: 2009 ident: 10.1016/j.agwat.2019.105857_bib0095 article-title: Speeding up the genetic algorithm convergence using sequential mutation and circular gene methods publication-title: ISDA 2009 - 9th Int. Conf. Intell. Syst. Des. Appl. – year: 1967 ident: 10.1016/j.agwat.2019.105857_bib0020 article-title: Validity of the single processor approach to achieving large scale computing capabilities publication-title: Proc. April 18-20, 1967, spring Jt. Comput. Conf. - AFIPS’ 67 483 doi: 10.1145/1465482.1465560 – volume: 1 start-page: 28 year: 2006 ident: 10.1016/j.agwat.2019.105857_bib0030 article-title: Ant colony optimization publication-title: IEEE Comput. Intell. Mag. doi: 10.1109/MCI.2006.329691 – volume: 141 start-page: 1 year: 2015 ident: 10.1016/j.agwat.2019.105857_bib0015 article-title: Improving the efficiency of the loop method for the simulation of water distribution systems publication-title: J. Water Resour. Plan. Manag. doi: 10.1061/(ASCE)WR.1943-5452.0000539 – volume: 27 start-page: 2855 year: 2013 ident: 10.1016/j.agwat.2019.105857_bib0040 article-title: Optimal operation of pressurized irrigation networks with several supply sources publication-title: Water Resour. Manag. doi: 10.1007/s11269-013-0319-y – volume: 3 start-page: 90 year: 2011 ident: 10.1016/j.agwat.2019.105857_bib0065 article-title: Self-adaptation mechanism to control the diversity of the population in genetic algorithm publication-title: Int. J. Comput. Sci. Inf. Technol. – year: 2003 ident: 10.1016/j.agwat.2019.105857_bib0050 – start-page: 103 year: 2005 ident: 10.1016/j.agwat.2019.105857_bib0100 article-title: Methods for using surrogate models to speed up genetic algorithm optimization: informed operators and genetic engineering – volume: 104 start-page: 552 year: 2009 ident: 10.1016/j.agwat.2019.105857_bib0110 article-title: Exploring energy saving scenarios for on-demand pressurised irrigation networks publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2009.09.001 – volume: 68 start-page: 1008 year: 2017 ident: 10.1016/j.agwat.2019.105857_bib0085 article-title: Electricity costs in irrigated agriculture: a case study for an irrigation scheme in Spain publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2016.05.075 – volume: 102 start-page: 46 year: 2011 ident: 10.1016/j.agwat.2019.105857_bib0075 article-title: Vali dation of a methodology for grouping intakes of pressurized irrigation networks into sectors to minimize energy consumption publication-title: Agric. Water Manage. doi: 10.1016/j.agwat.2011.10.005 – start-page: 1355 year: 2015 ident: 10.1016/j.agwat.2019.105857_bib0120 article-title: Speedup genetic algorithm using C-CUDA publication-title: Proc. - 2015 5th Int. Conf. Commun. Syst. Netw. Technol. CSNT 2015 – start-page: 450 year: 2015 ident: 10.1016/j.agwat.2019.105857_bib0010 article-title: Nueva metodología para optimizar la programación del riego aprovechando la diferencia de cota entre el punto de suministro y el de consumo – volume: 6 start-page: 1 year: 1908 ident: 10.1016/j.agwat.2019.105857_bib0125 article-title: The probable error of a mean publication-title: Biometrika doi: 10.2307/2331554 – volume: 38 start-page: 200 year: 2000 ident: 10.1016/j.agwat.2019.105857_bib0115 article-title: EPANET 2: users manual publication-title: Cincinnati US Environ. Prot. Agency Natl. Risk Manag. Res. Lab. – volume: 42 start-page: 760 year: 2011 ident: 10.1016/j.agwat.2019.105857_bib0035 article-title: JMetal: a Java framework for multi-objective optimization publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2011.05.014 – start-page: 411 year: 2015 ident: 10.1016/j.agwat.2019.105857_bib0045 article-title: Algoritmos y herramientas para la aplicación de estrategias de reducción de costes energéticos en sistemas de riego a presión – start-page: 532 year: 1988 ident: 10.1016/j.agwat.2019.105857_bib0055 article-title: Reevaluating amdahl’s law – start-page: 1 year: 1998 ident: 10.1016/j.agwat.2019.105857_bib0005 article-title: Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56 publication-title: Irrig. Drain. – year: 2017 ident: 10.1016/j.agwat.2019.105857_bib0130 |
| SSID | ssj0004047 |
| Score | 2.428802 |
| Snippet | •The methodology minimizes the cost of energy while maximizes service pressures.•Cost reductions of about 6–7% were reached for scenarios without pressure... The present work is motivated by the need to reduce the energy costs arising from the pressure demands of drip and sprinkling irrigation, compounded by the... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 105857 |
| SubjectTerms | algorithms case studies Computational efficiency cost effectiveness Cost minimization energy energy costs irrigation scheduling irrigation systems Online optimization Pressure maximization system optimization |
| Title | Real-time energy optimization of irrigation scheduling by parallel multi-objective genetic algorithms |
| URI | https://dx.doi.org/10.1016/j.agwat.2019.105857 https://www.proquest.com/docview/2374181639 |
| Volume | 227 |
| WOSCitedRecordID | wos000525275500018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-2283 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004047 issn: 0378-3774 databaseCode: AIEXJ dateStart: 19950401 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdKxwM8THyKMUBG4q04amw3cR7D2ASTmBAMqW-Rk9hdqzSZsm6M_QH83ZztfFStmACJlyiOLnHi-8U-23e_Q-iN0L4OwC4gepIxwgVlJJW5IpRKFopI-Xme22QT4cmJmE6jz4PBzzYW5qoIy1JcX0fn_1XVcA2UbUJn_0Ld3UPhApyD0uEIaofjHyn-C5h-xKSMHykX11dBr7Bswi0tQ0RdW14NKMHUFoYaG5EOZqihAS8KVTgvQ1KlC9cbmjTLyhK7FrOqnq_OGobzlrx2VvcEHt-lYV1cbjnVxAV8bzUyWx3Ose_YO_A695350m3Yl-qGvGu3gz55cSdh2A6syHsQGcXFjVxWNkPS6MhbX7igxv-N0HG_mrYVUeOiuIy7Rugy93jKdcoiZMTQ9Kz32tRRCmyNAG4xYuHJGXywcd2LTCpj4ViwN6i1v5raTGVgxY7N_u8dtEPDSSSGaCf-eDg97iNsxzZVXfd2LX-V9RTcqup3Ns7GaG9NmNMHaLeZe-DYYeYhGqjyEbrfq089RqpDD3bowevowZXGPXpwjx6c_sAtevAGenCDHtyj5wn6dnR4evCBNJk4SAYW3YpkImM8o1IEvg5zJjPOpIaSzH1fwhzC96NcR5M0AmnGpKSBCHkWKSVTKCjNnqJhWZXqGcKMaya5ElzngnMuZRCkE6qDkNPQ1-N0D9G27ZKsoak32VKKpPVHXCS2wRPT4Ilr8D30trvp3LG03C4etEpJGkPTGZAJoOj2G1-3KkygGzZ7a7JU1eVFQpmhgYLJTfT8Xx--j-71v8kLNFzVl-oluptdreYX9asGkb8ATs-yeg |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Real-time+energy+optimization+of+irrigation+scheduling+by+parallel+multi-objective+genetic+algorithms&rft.jtitle=Agricultural+water+management&rft.au=Alonso+Campos%2C+J.C.&rft.au=Jim%C3%A9nez-Bello%2C+M.A.&rft.au=Mart%C3%ADnez+Alzamora%2C+F.&rft.date=2020-01-20&rft.pub=Elsevier+B.V&rft.issn=0378-3774&rft.eissn=1873-2283&rft.volume=227&rft_id=info:doi/10.1016%2Fj.agwat.2019.105857&rft.externalDocID=S0378377419305657 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0378-3774&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0378-3774&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0378-3774&client=summon |