Search Results - (( progression optimization method algorithm ) OR ( using optimization based algorithm ))
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1
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The increasing interest among researchers in the application of metaheuristic algorithms for search optimization has resulted in notable progress, especially in tackling single objective optimization problems. …”
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Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil
Published 2024“…The proposed approach utilizes genetic algorithms to dynamically produce optimized timetables based on individual student needs, with real-time data scraping from 'iCRESS' ensuring the system stays up to date with the latest course information for accurate timetable generation. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…For these reasons, to improve the time and accuracy of the coverage in population-based meta-heuristics and their utilization in HPAs, this thesis presents a novel optimization algorithm called the Raccoon Optimization Algorithm (ROA). …”
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4
A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Black Hole (BH) optimization algorithm has been underlined as a solution for data clustering problems. …”
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5
A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…Sarawak is transitioning to green energy adoption, yet progress is hindered by a lack of comprehensive spatial data to identify optimal locations, inadequate optimization techniques for effective integration of these sites, and insufficient robust Industrial Internet of Things-based real-time monitoring and automation strategies to manage the intermittent nature of green energy resources. …”
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A Hybrid Model of Contrast Enhancement with Particle Swarm Optimization for Diabetic Retinopathy (S/O 14404)
Published 2023“…As the technology offered in Industrial Revolution (IR) 4.0, namely Artificial Intelligence, is shown to reduce medical errors, this study proposes an image enhancement algorithm based on hybrid of Contrast Enhancement (CE) and Particle Swarm Optimization (PSO). …”
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Monograph -
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Using genetic algorithms to optimise land use suitability
Published 2012“…The third objective is to optimize the land use map using economic benefits. …”
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Optimal overcurrent relay coordination in wind farm using genetic algorithm
Published 2015“…Many suggestions have been made and approaches implemented, however one of the most prominent methods is the use of Genetic Algorithm (GA) to improve the function and coordination of OCRs. …”
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A hybrid ANN for output power prediction and online monitoring in grid-connected photovoltaic system / Puteri Nor Ashikin Megat Yunus
Published 2023“…At this stage, the hybrid EPDEA was selected to be used in the system as it was the best optimization in the hybridization method. …”
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10
Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers
Published 2022“…Furthermore, to assess the right range of conditions for maximizing base pressure, the genetic algorithm (GA), desirability function approach (DFA), and particle swarm optimization (PSO) techniques were implemented. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…—The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low-inertia grids
Published 2025“…For this reason, the paper proposed an optimized hybrid generalized droop method combined with a cloud-based supervisory control using the Internet of Things (IoT) to facilitate smooth transitions and maintain system stability. …”
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Intelligent control rod selection algorithm for core power control at TRIGA Puspati Reactor using fuzzy logic technique
Published 2025“…This Fuzzy-CRSA approach provides a more flexible and resilient method for controlling the reactor’s four types of rods. …”
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Chemometrics analysis for the detection of dental caries via ultraviolet absorption spectroscopy / Katrul Nadia Basri
Published 2023“…The best performance obtained using Savitzky-Golay smoothing and LDA algorithms after the wavelength selection with the accuracy reported of 0.90. …”
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16
Sleep arousal events detection using PNN-GBMO classifier based on EEG and ECG signals: A hybrid-learning model
Published 2020“…A subset of the features is then applied into the probabilistic neural network optimized by Gases Brownian Motion Optimization (GBMO) algorithm. …”
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Using clinical practice guidelines to manage dengue: a qualitative study in a Malaysian hospital
Published 2019“…Where Medical Officers were well trained in the appropriate use of evidence-based guidelines, barriers to use included: the potential for 'following the algorithm' to undermine junior clinicians' claims to clinical expertise; inability to recognise the pattern of clinical progress; and lack of clinical experience. …”
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Extraction and reconstruction of retinal vasculature
Published 2007“…The reconstruction technique reduces the required number of seeds to near optimal for the region growing process. It also overcomes poor performance of current seed-based methods, especially with low and inconsistent contrast images as normally seen in vasculature regions of fundus images. …”
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Citation Index Journal -
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Prediction of device performance in SnO2 based inverted organic solar cells using machine learning framework
Published 2024“…The complicated process and long data execution time have limited its research progress. In this project, the machine learning (ML) framework with different algorithm models and kernel functions was employed to predict the device performance of solution-processed SnO2-based organic solar cells. …”
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