Search Results - (( model evaluation ((a algorithm) OR (_ algorithm)) ) OR ( based operational based algorithm ))*
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Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq
Published 2016“…The first algorithm was based on the traditional simulation of reservoir operation, whilst the second algorithm (Salg) enhanced the GAOM by changing the population values of GA through a new simulation process of reservoir operation. …”
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Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
Published 2025Subjects:Article -
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An enhanced metaheuristic approach to solve quadratic assignment problem using hybrid technique
Published 2021“…Finally, the hybrid between Discrete Differential Evolution and Tabu Search (HDDETS) algorithm has been proposed in this research work to enhance the exploitation mechanism in the DDE algorithm to get a balanced hybrid algorithm in exploitation and exploration mechanisms and capacity to optimization the solutions of QAP model with a larger size within a reasonable time. …”
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Improved flower pollination optimization algorithm based on swap operator and dynamic switch probability selection
Published 2023“…Moreover, its single tuning parameter and simple mathematical model make it easier to implement. However, the flower pollination algorithm has a few drawbacks which are partially addressed by the practitioners. …”
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5
Novel Adaptive Bacterial Foraging Algorithms for Global Optimisation with Application to Modelling of a TRS
Published 2015“…The algorithms are further employed to predict a neural network dynamic model of a laboratory-scale helicopter in the hovering mode. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…The main purpose of this study was presenting a model for an optimal operation of multi-purpose dams of water resources systems. …”
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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…This research is mainly about improving existing classification algorithms for a correct classification results and evaluating the accuracy of classification algorithms in correctly determining urban growth forms, The datasets are Landsat Thematic Mapper (TM) images of Klang Valley, one of the most rapid urban growth areas in Malaysia. …”
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Optimization of Reservoir Operation using New Hybrid Algorithm
Published 2018“…In addition, based on a multi-criteria decision-making model, it was evaluated by comparing it with other evolutionary algorithms. …”
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A comparative evaluation of PID-based optimisation controller algorithms for DC motor
Published 2023Article -
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Development of control algorithm for a new 12s-6p single phase field excited flux switching motor
Published 2020“…In this research, two algorithms have been proposed in which first algorithm is based on bipolar DC signals while second algorithm is based on field oriented control (FOC) principle. …”
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System identification using Extended Kalman Filter
Published 2017“…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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Student Project -
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Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2011“…The guidance and control algorithms are based on the glideslope used in the past for rendezvous and proximity operations of the Space Shuttle with other vehicles. …”
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Proceeding Paper -
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Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2014“…The guidance and control algorithms are based on the glideslope used in the past for rendezvous and proximity operations of the Space Shuttle with other vehicles. …”
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Square groove detection based on forstner with canny edge operator using laser vision sensor
Published 2023“…The objectives of 1his research are to develop a detection algorithm 1hat can extract 1he feature points of1he square-groove; and 1he second objective is to evaluate 1he detection algorithm and its ability to extract 1he image features of 1he square-groove in temis of 1he accuracy. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…To overcome these drawbacks and to achieve an appropriate percentage of exploitation and exploration, this study presents a new modified teaching learning-based optimization algorithm called the fuzzy adaptive teaching learning-based optimization algorithm. …”
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Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents
Published 2007“…This method will enhance connection between broken characters but still preserving the originality of the document. A noise model has been developed to test the reliability of the proposed algorithm. …”
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Enhanced Community Detection Based On Cross Time For Higher Visibility In Supply Chain: A Six-Steps Model Framework
Published 2019“…This paper proposed six steps model framework that aim: (1) To construct the nodes and vertices for temporal graph representing the relationship in supply chain network; (2) To propose an enhanced temporal community detection algorithm in graph analytics based on Cross-time approach and (3) To evaluate the enhanced temporal community detection algorithm in graph analytics for representing relationship in supply chain network based on external and internal quality analysis. …”
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The compact genetic algorithm for likelihood estimator of first order moving average model
Published 2012“…The poor behavior of genetic algorithms in some problems, sometimes attributed to design operators, has led to the development of other types of algorithms. …”
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Conference or Workshop Item -
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Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm
Published 2022“…Results from the simulated and evaluated algorithm showed that the proposed model was able to achieve a mAP of 97.8 in the daytime dataset and 95.1 in the nighttime dataset.…”
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