Search Results - (( using action method algorithm ) OR ( simulation optimization method algorithm ))
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the simulation result, by using these sensors information the AUTOWiSARD algorithm can successfully differentiate and classify states without supervision, while the Q-learning algorithm is able to produce and optimized states-actions policy. …”
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Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
Published 2010“…GA have been successfully applied to solve many optimization problems. This research proposes a method that may help users to determine the membership function of FLC using the technique of GA optimization for the fastest processing in solving the problems. …”
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3
A new ant based rule extraction algorithm for web classification
Published 2011“…Web documents contain enormous number of attributes as compared to other type of data. Ant-Miner algorithm is also still lacking in efficiency, accuracy and rule simplicity because of the local minima problem.Therefore, the Ant-Miner algorithm needs to be improved by taking into consideration of the accuracy and rule simplicity criteria so that it could be used to classify Web documents data sets or any large data sets.The best attribute selection method for Web texts categorization is the combination of correlation-based evaluation with random search as the search method.However, this attribute selection method will not give the best performance in attributes reduction. …”
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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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A Chameleon algorithm for solving economic dispatch problem in microgrid system
Published 2024“…The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). …”
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Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System
Published 2009“…Furthermore, it indicates that when the mean time to repairs are longer, this method is more efficient. The results in the simulated testbed indicate that the developed scheduling method using simulation optimization functions properly and can be applied in other cases.…”
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7
Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market
Published 2022“…The state-of-the-art frameworks used for simulating strategic bidding decisions in deregulated electricity markets (EM’s) in this article are bi-level optimization and neural networks. …”
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Deep Reinforcement Learning For Control
Published 2021“…The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. …”
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9
Multi-Objectives Optimization Of Energy Consumption Of IKM Bintulu Buildings Towards Energy Saving
Published 2017“…The methods are differs by the setting parameter of temperature of24°C and lighting of 500 Lux for optimization method, while 18°C air conditioning temperature and 540 Lux for without optimization method. …”
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Optimized type 2 fuzzy logic control for low-speed vehicle pedal pressing automation using hybrid spiral sine cosine algorithm
Published 2025“…The research investigates two FLC approaches: the standard Type 1 FLC and the advanced Type 2 FLC, both optimized using the Hybrid Spiral Sine Cosine Algorithm (SSCA). …”
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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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Optimization of flood inundation simulation using multi-resolution Digital elevation model
Published 2022“…This is one of the key components of flood phenomenon which requires high accuracy for further action in the flood risk management. Additionally, inflow value could also be used to optimize flood inundation simulation without disturbing the coarse DEM. …”
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Evaluation of optimal cooling control for seeded batch crystallization inclusive dissolution with uncertainties
Published 2020“…Several other strategies pertaining to achieve desired CSD with minimum amount of fine crystals were deployed. The optimization algorithm was employed in order to determine the optimal set-point trajectory for closed-loop control. …”
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15
Hierarchical extreme learning machine based reinforcement learning for goal localization
Published 2017“…In this paper, reinforcement learning (RL) method was utilized to find optimal series of actions to localize the goal region. …”
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Proceeding Paper -
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Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation
Published 2025“…This study develops and validates a force feedback control system for automotive pedals utilizing an optimized PID controller using the hybrid Spiral Sine-Cosine algorithm (SSCA). …”
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Intelligent traffic lights using Q-learning
Published 2022“…The Q-learning algorithm has been applied to the traffic lights system in this study. …”
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Minimization of torque ripple and flux droop using optimal DTC switching and sector rotation strategy
Published 2022“…Both proposed strategies were compared with conventional method and verified through simulation and experimentation works. …”
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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“…The method is accurate and has advantage as easy to implement which accomplished with Carson's equations. …”
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Optimization of turning parameters using genetic algorithm method
Published 2008“…The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation.…”
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