Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms

Efficient and judicious use of land and water is the need of the hour. In other words, evolving a cropping pattern, which optimizes productivity or net return considering prevailing constraints is quite useful to farmers, because such a cropping pattern is expected to be better than the existing cro...

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Autores principales:	Ashruti Upadhyaya, Ashutosh Upadhyaya
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	cropping pattern cuckoo search algorithm optimization teaching learning based optimization water productivity River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/bbd4821233e54bd5a73c32bf6b837fd6
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spelling	oai:doaj.org-article:bbd4821233e54bd5a73c32bf6b837fd62021-11-05T20:14:54ZOptimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms1366-70171996-975910.2166/wp.2021.083https://doaj.org/article/bbd4821233e54bd5a73c32bf6b837fd62021-04-01T00:00:00Zhttp://wp.iwaponline.com/content/23/2/274https://doaj.org/toc/1366-7017https://doaj.org/toc/1996-9759Efficient and judicious use of land and water is the need of the hour. In other words, evolving a cropping pattern, which optimizes productivity or net return considering prevailing constraints is quite useful to farmers, because such a cropping pattern is expected to be better than the existing cropping pattern in terms of yielding optimum productivity or net return. A single objective problem consisting of an objective function of optimization of water productivity with prevailing constraints was formulated and three optimization algorithms, namely (i) LINPROG, (ii) teaching learning based optimization (TLBO) and (iii) cuckoo search (CS) were employed to compute optimum water productivity corresponding to various affinity levels. It was observed that all three approaches yielded exactly the same values of water productivity at different affinity levels. TLBO showed better convergence capability as it reached the optimum value of objective function at a lower number of iterations than CS technique. Optimum water productivity at 20% affinity level seems quite practical and reasonable to be recommended in this distributary command for adoption because water productivity value is 2.57 times higher with 98.25 ha less cropped area as compared to the value of water productivity for the existing cropping pattern. Highlights Water productivity is an indicator which can point out hot spots where net return can be improved with less water consuming crops.; A single objective function problem of optimization of water productivity was formulated and solved by three optimization algorithms: (i) LINPROG, (ii) TLBO, (iii) Cuckoo search.; It was observed that all three approaches yielded exactly same values of water productivity at different affinity levels.;Ashruti UpadhyayaAshutosh UpadhyayaIWA Publishingarticlecropping patterncuckoo search algorithmoptimizationteaching learning based optimizationwater productivityRiver, lake, and water-supply engineering (General)TC401-506ENWater Policy, Vol 23, Iss 2, Pp 274-290 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cropping pattern cuckoo search algorithm optimization teaching learning based optimization water productivity River, lake, and water-supply engineering (General) TC401-506
spellingShingle	cropping pattern cuckoo search algorithm optimization teaching learning based optimization water productivity River, lake, and water-supply engineering (General) TC401-506 Ashruti Upadhyaya Ashutosh Upadhyaya Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms
description	Efficient and judicious use of land and water is the need of the hour. In other words, evolving a cropping pattern, which optimizes productivity or net return considering prevailing constraints is quite useful to farmers, because such a cropping pattern is expected to be better than the existing cropping pattern in terms of yielding optimum productivity or net return. A single objective problem consisting of an objective function of optimization of water productivity with prevailing constraints was formulated and three optimization algorithms, namely (i) LINPROG, (ii) teaching learning based optimization (TLBO) and (iii) cuckoo search (CS) were employed to compute optimum water productivity corresponding to various affinity levels. It was observed that all three approaches yielded exactly the same values of water productivity at different affinity levels. TLBO showed better convergence capability as it reached the optimum value of objective function at a lower number of iterations than CS technique. Optimum water productivity at 20% affinity level seems quite practical and reasonable to be recommended in this distributary command for adoption because water productivity value is 2.57 times higher with 98.25 ha less cropped area as compared to the value of water productivity for the existing cropping pattern. Highlights Water productivity is an indicator which can point out hot spots where net return can be improved with less water consuming crops.; A single objective function problem of optimization of water productivity was formulated and solved by three optimization algorithms: (i) LINPROG, (ii) TLBO, (iii) Cuckoo search.; It was observed that all three approaches yielded exactly same values of water productivity at different affinity levels.;
format	article
author	Ashruti Upadhyaya Ashutosh Upadhyaya
author_facet	Ashruti Upadhyaya Ashutosh Upadhyaya
author_sort	Ashruti Upadhyaya
title	Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms
title_short	Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms
title_full	Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms
title_fullStr	Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms
title_full_unstemmed	Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms
title_sort	optimization of water productivity in bhagwanpur distributary command of india employing tlbo and cuckoo search algorithms
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/bbd4821233e54bd5a73c32bf6b837fd6
work_keys_str_mv	AT ashrutiupadhyaya optimizationofwaterproductivityinbhagwanpurdistributarycommandofindiaemployingtlboandcuckoosearchalgorithms AT ashutoshupadhyaya optimizationofwaterproductivityinbhagwanpurdistributarycommandofindiaemployingtlboandcuckoosearchalgorithms
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Optimization of water productivity in Bhagwanpur distributary command of India employing TLBO and cuckoo search algorithms

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