Search Results - (( using action scheme algorithm ) OR ( java adaptation optimization algorithm ))
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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A new congestion control algorithm for active networks
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Knowledge base tuning using genetic algorithm for fuzzy behavior-based autonomous mobile robot
Published 2005“…The scheme is validated using parameters of MagellanPro mobile robot and tested by simulation using MATLAB/ SIMULINK. …”
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Application of reinforcement learning to wireless sensor networks: models and algorithms
Published 2015“…This covers many components and features of RL, such as state, action and reward. This article presents how most schemes in WSNs have been approached using the traditional and enhanced RL models and algorithms. …”
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Active force control with iterative learning control algorithm for a vehicle suspension
Published 2013“…ILC algorithm is implemented into AFC-based control scheme to reduce its complexity and hence faster response, by replacing the use of artificial intelligence (Al) method as proposed by previous researcher. …”
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Intelligent active force control of a robotic arm using genetic algorithm
Published 2002“…A set of constant torques at the joints is deliberately introduced as the disturbance mechanism to test the effectiveness of the proposed scheme. The results show that the GA used in the study being a stochastic and global optimizer successfully computes appropriate IN value to effect the control action. …”
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A high-performance control scheme for photovoltaic pumping system under sudden irradiance and load changes
Published 2018“…The obtained results indicate the excellent performance of the proposed control scheme, which is much better than the conventional scheme based on conventional techniques (P&O algorithm and direct torque control (DTC)).…”
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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 effectiveness of the proposed scheme is validated through simulation by using PSCAD/EMTDC software. …”
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11
Neural network based model predictive control for a steel pickling process
Published 2009“…The Levenberg-Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. …”
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Hybridization solution of electrical energy demand response and forecasting program by using PSO-LSSVM technique
Published 2023“…To overcome this challenge, a demand-side management (DSM) approach is put into action, which involves the use of DR schemes and diverse action strategies. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Modular motor driver with torque control for gripping mechanism
Published 2023“…Using the same hardware configuration, the different algorithms produced different outcomes on the output of the controller. …”
Conference paper -
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…Conventional approaches formulate resource allocation as an optimization problem and solve it with instantaneous environment knowledge without considering the consequences of actions. A step towards long network performance optimization is theterm use of deep reinforcement learning (DRL), which can learn the best policy via interaction with the environment. …”
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Bacterial foraging optimization algorithm for optimal load shedding in power systems / Wan Nur Eliana Afif Wan Afandie
Published 2016“…This thesis mainly focus on the widely used under voltage load shedding schemes (UVLS). …”
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Power system intentional islanding for different contingency scenarios using discrete optimization technique
Published 2023“…The performance of the proposed MDEP algorithm was evaluated using the IEEE 30-bus, IEEE 39-bus, and IEEE 118-bus test systems. …”
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Multivariable adaptive lyapunov fuzzy controller for pH neutralisation process
Published 2015“…The optimised structure is used to predict three-difference control action simultaneously. …”
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Parametric design of a turtle rehabilitation centre
Published 2022“…Often, the so-called parametric design could only be realised when the designer uses high-end computer aided design software. Nevertheless, with critical algorithmic exploration of forms, parametric architectural design could be manually crafted, producing lucrative and inspirational architecture. …”
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