Search Results - (( developing water problem algorithm ) OR ( java implication based algorithm ))
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Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
Published 2019“…This development goal is to reduce the impact of water variation in river water levels. …”
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Irrigation management based on reservoir operation with an improved weed algorithm
Published 2023Article -
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Irrigation Management Based on Reservoir Operation with an Improved Weed Algorithm
Published 2018“…Thus, the improved weed algorithm is suggested for solving complex problems in water resources management.…”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…An improved particle swarm algorithm (HPSOGA) is used to solve complex problems of water resources optimization. …”
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…In addition, two novel optimization methods are developed and presented which are named the mine blast algorithm (MBA) and the water cycle algorithm (WCA). …”
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network
Published 2021“…Pulau Pinang is a very cosmopolitan city that indirectly raise concern on the issue of water quality problems. Considering the issue encountered, the water quality index (WQI) formulation developed by the Department of the Environment (DOE) might be able to assist the water authorities in some way, as it is useful to assess the river water quality condition. …”
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Hybrid or modified optimization algorithms for dam reservoir water operation: A review
Published 2023“…Determination of optimum policy for scarce water resources plays an important role in the sustainable development of any region. …”
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
Published 2024“…To ease water scarcity, dynamic programming, stochastic dynamic programming, and heuristic algorithms have been applied to solve problem matters related to water resources. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Published 2019“…Metaheuristic algorithms have received much attention recently for solving different optimization and engineering problems. …”
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Monthly chlorophyll-a prediction using neuro-genetic algorithm for water quality management in Lakes
Published 2016“…Developed NGA was applied to predict Chlorophyll-a (Chl-a) concentrations in one-month increments in Lakes used as drinking water sources. …”
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Reservoir water balance simulation model utilizing machine learning algorithm
Published 2023Article -
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Development of wwm system using mlnn-ga for ph prediction of water quality in catchment area
Published 2021“…Thus, prediction of water quality is applied to solve this problem with a number of WWM Systems used for collecting data will be reduced. …”
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Hourly water level prediction of sungai bedup catchement using pre-developed ANNs model from Siniawan catchment
Published 2009“…In this study, the ANNs were developed specifically to forecast the hourly water level for Sg. …”
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Final Year Project Report / IMRAD -
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Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System
Published 2018“…It is demonstrated that shark machine learning algorithm would be a promising tool in handling the long-term optimization problem in operation a reservoir system.…”
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A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
Published 2019“…The excellent proficiency of the developed intelligence expert system is the result of the hybrid structure of the BA and PSO algorithm and the substitution of weaker solutions in each algorithm with better solutions from other algorithms. …”
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