Search Results - (( based optimization system algorithm ) OR ( using action method algorithm ))
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network
Published 2023“…Compared to the Ant Colony Optimization-Genetic Algorithm (ACO-GA) and Ant Colony Optimization- Hierarchical Clustering Mechanism (ACOHCM), the ACO algorithm shows superior power savings and efficiency. …”
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Particle swarm optimization with deep learning for human action recognition
Published 2021“…However, such methods necessitate a constant false-alarm rate system that detects the whole frame obtained at the moment. …”
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Modular motor driver with torque control for gripping mechanism
Published 2023“…The advantage of this method is the minimal cost incurred and the system built does not involve complex feedback system. …”
Conference paper -
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…A thematic analysis of 40 peer-reviewed articles was conducted using ATLAS.ti, revealing three dominant research themes: intelligent algorithms, building performance simulation techniques, and adaptive design for climate change. …”
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Optimization of super twisting sliding mode control gains using Taguchi method
Published 2018“…This paper focuses on optimization of super twisting controller gains using Taguchi method with objective to minimize tracking error and the chattering effect. …”
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A simplified PID-like ANFIS controller trained by genetic algorithm to control nonlinear systems
Published 2010“…Moreover, the GA was used to find the optimal settings for the input and output scaling factors for this controller, instead of the widely used trial and error method. …”
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Prediction analysis of COVID-19 in Selangor by using Backpropagation Algorithm with Conjugate Gradient Method
Published 2024“…Based on this theory, this study developed a backpropagation neural network using the conjugate gradient method to create the prediction analysis of COVID-19 patients in Selangor. …”
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Prediction analysis of COVID-19 in Selangor by using backpropagation algorithm with conjugate gradient method
Published 2024“…Based on this theory, this study developed a backpropagation neural network using the conjugate gradient method to create the prediction analysis of COVID-19 patients in Selangor. …”
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Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System
Published 2009“…Then, using genetic algorithm-based software which is called SimRunner and has been embedded by ProModel, the scheduling optimization procedure is run to find optimum maintenance schedule. …”
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11
Deep Reinforcement Learning For Control
Published 2021“…Potential actions must be taken based on prior experiences using a trial and error process. …”
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Monograph -
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Design of field programmable gate array-based proportional-integral-derivative fuzzy logic controller with tunable ganin
Published 2010“…This block involves a tuning via scaling the universe of discourse and is able to accept optimal scaling gains. The particle swarm optimization method (PSO) is used to obtain the optimal values of these gains. …”
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13
Intelligent traffic lights using Q-learning
Published 2022“…Q-learning derives benefits from past experiences and determines the optimal course of action based on them. The performance of the proposed system has been measured against that of the traditional system, which is a fixed time cycle system. …”
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Proceeding Paper -
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Load shedding scheme based on frequency and ranked stability index considering optimal selectivity of load in islanded distribution system / Norazliani Md Sapari
Published 2018“…The widespread use of renewable energy sources as Distributed Generations (DGs) in distribution system causes few technical concerns. …”
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A genetically trained simplified ANFIS controller to control nonlinear MIMO systems
Published 2011“…In addition, the real-coded genetic algorithm (GA) has been utilized to train this MIMO ANFIS controller, instead of the hybrid learning methods that are widely used in the literature. …”
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Conference or Workshop Item -
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Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction
Published 2016“…Installation of capacitors before and after optimization was compared based on voltage profile and reduction of power losses. …”
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Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…This study presents the development of Dolphin Echolocation Algorithm (DEA)-based sizing algorithm for sizing optimization of large-scale GCPV systems. …”
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18
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…Therefore, the SMA method is redesigned for optimal location and sizing based on the total active power loss of the systems. …”
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Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz
Published 2016“…This study presents the development of Firefly Algorithm-based Sizing Algorithm, known as FASA for sizing optimization of SAPV systems. …”
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Firefly algorithm for optimal sizing of stand-alone photovoltaic system / Nur Izzati Abdul Aziz
Published 2016“…This study presents the development of firefly algorithm-based sizing algorithm, known as FASA for sizing optimization of SAPV systems. …”
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