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Efficient Voltage Regulation: An RW-ARO Optimized Cascaded Controller Approach
Published 2024Subjects: “…Artificial rabbits optimization algorithm…”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
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Genetic algorithms applications in load frequency control
Published 1995“…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …”
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Adaptive bias simulated evolution algorithm for placement
Published 2001“…In this work, we propose an adaptive bias scheme which adjusts automatically to the quality of solution and makes the algorithm independent of the problem class or instance, as well as any user defined value. …”
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Capturing outline of fonts using genetic algorithm and splines
Published 2001“…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The algorithm is an effective yet simple tool to help operators optimize the NCB of their PV facilities. …”
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Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems
Published 2022“…This paper is a further attempt to offer a better optimizing structure, therefore, aims to provide a better-performing algorithm both for designing an appropriate proportional-integral-derivative (PID) controller to effectively operate an automatic voltage regulator (AVR) system and extracting the optimum parameters of a power system stabilizer (PSS) employed in a single-machine infinite-bus (SMIB) power system. …”
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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
Published 2005“…Consequently, an optimal HO-ILC is automatically reduced to an optimal first-order ILC. …”
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Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Published 2023“…For fair comparisons, a parameter tuning tool named irace is used to automatically configure the parameters of all 15 algorithms. …”
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Optimality of first-order ILC among higher order ILC
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization
Published 2023“…The Q value plays a crucial role in estimating future state values within a Kalman filter tracking system. Proximal Policy Optimization (PPO), a state-of-the-art policy optimization algorithm, was employed to determine the optimal Q value that enhances tracking performance, as measured by Root Mean Square Error (RMSE). …”
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