Optimal water allocation using a multi-objective evolutionary algorithm

Masters Thesis


Ullah, G. M. Wali. 2020. Optimal water allocation using a multi-objective evolutionary algorithm. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/04p7-fp29
Title

Optimal water allocation using a multi-objective evolutionary algorithm

TypeMasters Thesis
Authors
AuthorUllah, G. M. Wali
SupervisorLanglands, Trevor
Addie, Ron
Institution of OriginUniversity of Southern Queensland
Qualification NameMaster of Science (Research)
Number of Pages162
Year2020
Digital Object Identifier (DOI)https://doi.org/10.26192/04p7-fp29
Abstract

Agriculture water management in Bangladesh has become a subject of increasing attention due to population growth. Therefore, it is necessary that we optimize water use in order to increase the agricultural production with
the increasing needs of the population as well as to fulfil the need for a sound economy of the country as a whole.

The research engages with the optimum allocation of water in the agricultural sector of Bangladesh. We model the problem using multi-objective constrained optimization problem. The objectives in this problem are to maximize net return and minimizing deficit in environmental flow. A Non-Dominating Sorting Genetic Algorithm, NSGA-II, is used to solve the problem in this research to find the optimum result.

The research indicates that the crops which are produced more and are more profitable in trade should be cultivated more as recommended by the model. The model predictions indicate that rainfall impacts on net return and environmental flow deficit more than water inflow under the scenarios in the Muhuri Irrigation Project (MIP) considered.

KeywordsMuhuri Irrigation Project, net return, environmental flow deficit, multi-objective optimization problem, evolutionary algorithm, NSGAII
ANZSRC Field of Research 2020490108. Operations research
Byline AffiliationsSchool of Sciences
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https://research.usq.edu.au/item/q5yy9/optimal-water-allocation-using-a-multi-objective-evolutionary-algorithm

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