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1
Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Thesis -
2
Reservoir system modelling using nondominated sorting genetic algorithm in the framework of climate change
Published 2014“…The aim of the study is to propose and establish a sustainable and long term reservoir operation system and management with adaptation to climate change using the integrated models. The models are Nondominated Sorting Genetic Algorithm type II (NSGA-II), Linear Programming (LP), Statistical Downscaling Model (SDSM) with Multi-linear Correlation Matrix (M-CM), hydrological and crop models. …”
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3
Small Farmers' Decisions: Utility Versus Profit Maximization
Published 1982“…The farmers' perception of the riskiness ofaltemative crops are also measured and a quadratic programming algorithm is used to derive the most efficient expected meanvariance (E- V) frontier of each farmer. …”
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4
Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…The described model was resolved by linear programming and evolutionary algorithms in Microsoft Excel (Solver). …”
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5
Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm
Published 2023“…The detection algorithm will be develop based on a modified AlexNet model. …”
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Final Year Project Report / IMRAD -
6
Development Of An Intelligent Water Blending System For Irrigation Of Crops With Various Salinity Tolerance And Aquaculture
Published 2008“…Irrigation is among the important water consumers due to the large amount required to supply the increasing needs for agriculture, and due to the crop yieldsalinity tolerance. AI methods such as goal programming have been used for irrigation scheduling and stochastic goal programming for modeling of future water consumption needs. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
