A binary particle swarm optimisation for generating optimal schedule of lateral canals.

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Title: A binary particle swarm optimisation for generating optimal schedule of lateral canals.
Authors: Mathur, Y. P.1, Kumar, Rajesh2, Pawde, Anil1 awpawde@gmail.com
Source: IES Journal Part A: Civil & Structural Engineering. May2010, Vol. 3 Issue 2, p111-118. 8p.
Subjects: Water-supply engineering, Agricultural water supply, Canals, Water distribution, Food & Agriculture Organization of the United Nations
Abstract: A binary particle swarm optimisation (BPSO) algorithm is presented for generating the optimal schedule of irrigation lateral canals. The approach has been applied to the Ghusali distributary on the right bank canal of Upper Wardha dam in India as a case study. The objective is to supply the optimum quantity of water to the crop in the field so as to meet crop water requirement as per guidelines of Food and Agriculture Organization (FAO) paper 56 subject to the canal capacity constraint. The results show that schedule prepared for lateral canals provided efficient utilisation of water resources and maintaining the equity in water distribution. [ABSTRACT FROM AUTHOR]
Copyright of IES Journal Part A: Civil & Structural Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A binary particle swarm optimisation for generating optimal schedule of lateral canals.
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  Data: <searchLink fieldCode="AR" term="%22Mathur%2C+Y%2E+P%2E%22">Mathur, Y. P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Rajesh%22">Kumar, Rajesh</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Pawde%2C+Anil%22">Pawde, Anil</searchLink><relatesTo>1</relatesTo><i> awpawde@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22IES+Journal+Part+A%3A+Civil+%26+Structural+Engineering%22">IES Journal Part A: Civil & Structural Engineering</searchLink>. May2010, Vol. 3 Issue 2, p111-118. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Water-supply+engineering%22">Water-supply engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+water+supply%22">Agricultural water supply</searchLink><br /><searchLink fieldCode="DE" term="%22Canals%22">Canals</searchLink><br /><searchLink fieldCode="DE" term="%22Water+distribution%22">Water distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Food+%26+Agriculture+Organization+of+the+United+Nations%22">Food & Agriculture Organization of the United Nations</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A binary particle swarm optimisation (BPSO) algorithm is presented for generating the optimal schedule of irrigation lateral canals. The approach has been applied to the Ghusali distributary on the right bank canal of Upper Wardha dam in India as a case study. The objective is to supply the optimum quantity of water to the crop in the field so as to meet crop water requirement as per guidelines of Food and Agriculture Organization (FAO) paper 56 subject to the canal capacity constraint. The results show that schedule prepared for lateral canals provided efficient utilisation of water resources and maintaining the equity in water distribution. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IES Journal Part A: Civil & Structural Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/19373261003619936
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        Text: English
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        PageCount: 8
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      – SubjectFull: Water-supply engineering
        Type: general
      – SubjectFull: Agricultural water supply
        Type: general
      – SubjectFull: Canals
        Type: general
      – SubjectFull: Water distribution
        Type: general
      – SubjectFull: Food & Agriculture Organization of the United Nations
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      – TitleFull: A binary particle swarm optimisation for generating optimal schedule of lateral canals.
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              Text: May2010
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              Y: 2010
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