Search Results - (( user evaluation a algorithm ) OR ( control optimization strategy algorithm ))
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1
3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control
Published 2020“…Without a specific method introduced to determine the optimal values of input and output control gains, as well as the IT2FLC control parameters, optimization algorithm has been applied to enhance the system's performance in term of stability and disturbance rejection. …”
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2
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Hence, the process of choosing a suitable DE strategy and setting its control parameters is difficult and requires much user experience. …”
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3
Interval type-2 fuzzy logic control optimize by spiral dynamic algorithm for two-wheeled wheelchair
Published 2020“…The research study embarks on three objectives includes developing Interval Type-2 Fuzzy Logic Control (IT2FLC) as the control system, design a Spiral Dynamic Algorithm (SDA) for IT2FLC in stabilizing the designed double-link twowheeled wheelchair system, and optimize the input-output gains and control parameters. …”
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4
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
5
Adaptive-somersault MRFO for global optimization with an application to optimize PD control
Published 2022“…The application of the algorithm to optimize the PD control shows that the control scheme optimized by the proposed adaptive-somersault algorithm has attained a better control performance.…”
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6
Harmony search-based robust optimal controller with prior defined structure
Published 2013“…For further assessment, the proposed design strategy is then employed to design a control law for an electrical DC drive velocity controller used as a benchmark problem for the recent PSO-based and genetic algorithm optimization (GAO)-based robust controllers. …”
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7
Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control
Published 2024“…A Manta Ray Foraging Optimization (MRFO) is a promising algorithm that can be applied to optimize the control design. …”
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8
Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
Published 2022“…They are also applied to optimize a type-2 fuzzy logic controller for an inverted pendulum system in comparison to SDA, Spotted Hyena Optimizer, Tunicate Swarm Algorithm, and Sooty Tern Optimization Algorithm. …”
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Sine-based barnacle mating optimization for PD control of an inverted pendulum system
Published 2022“…For the inverted pendulum application, both algorithms have satisfactorily optimized the controller. …”
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10
Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm
Published 2016“…An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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11
Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy
Published 2020“…The objectives of this research study is 1)to tune and optimize gains of Proportional-Integral-Derivative (PID) controller for wheeled mobile robot (WMR), 2)develop target searching strategy for swarm robotics system and 3)compared the performance of proposed method with the well-established methods, target searching strategy based on Particle Swarm Optimization (PSO) and Bat Algorithm (BA). …”
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12
The PID controller parameter tuning based on a modified differential evolutionary optimization algorithm for the intelligent active vibration control of a combined single link robo...
Published 2025“…This paper introduces some of the various techniques of vibration control and optimization for the purpose of vibration reduction and balancing. …”
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Spiral-based manta ray foraging optimization to optimize PID control of a flexible manipulator
Published 2020“…In terms of solving an engineering application, the proposed algorithm is applied to optimize a PID controller for a flexible manipulator system. …”
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14
Multi-objective spiral dynamic algorithms-based for a better accuracy and diversity
Published 2019“…There are still rooms for improvement the algorithm performance by manipulating the algorithm strategy. …”
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15
Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game
Published 2015“…In the last experiment, the results showed that DE and EP algorithms can generate superior controllers whilst PDE is only capable to generate sub-optimal controllers. …”
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16
PI controller based genetic algorithm for PV inverter using SPWM technique / Muhammad Hafiz Dzikri Mohammad Salihhuddin
Published 2025“…This study focuses on optimizing a three-phase photovoltaic (PV) inverter system using Sinusoidal Pulse Width Modulation (SPWM) with Genetic Algorithm (GA)-optimized Proportional-Integral (PI) controllers. …”
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Opposition based Spiral Dynamic Algorithm with an Application to a PID Control of a Flexible Manipulator
Published 2019“…However, the proposed algorithm shows a better control response.…”
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Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper
Published 2019“…PID control parameters are optimized using an Ant colony optimization (ACO) algorithm. …”
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19
A multi-objective Spiral Dynamic algorithm and its application for PD design
Published 2017“…In terms of its application in solving a real problem, both algorithms successfully optimize the PD and control the system very well. …”
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20
Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…Therefore, this study presents the prospect of artificial intelligence-based algorithms, control systems, and energy management strategies advances on HFCEVs performance optimization. …”
Review
