Search Results - (( model navigation swarm algorithm ) OR ( spider optimization strategy algorithm ))
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Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system
Published 2024“…Additionally, this study benchmarks the SWO-tuned controller against recently reported control strategies that were optimized using different algorithms. …”
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Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation
Published 2025“…This study introduces a new approach for parameter optimization in the four-diode photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization (DFGPSO) algorithm and Enhanced Newton-Raphson (ENR) method. …”
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Levy tunicate swarm algorithm for solving numerical and real-world optimization problems
Published 2022“…The proposed Levy Tunicate Swarm Algorithm (LTSA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic algorithm called Tunicate Swarm Algorithm (TSA) to solve numerical and real-world optimization problems. …”
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Modelling of multi-robot system for search and rescue
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Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…Utilizing robust Runge-Kutta methods, the solver adeptly navigates the complexities of the ODE model, particularly useful when analytical solutions are challenging to obtain. …”
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Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…Finally, performance evaluation for the proposed integrated GPS/INS navigator provides a reliable navigation solution including position and velocity information. …”
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Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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Hyperparameter tuning in deep learning using NSGA-III: a Multi-Objective perspective
Published 2025“…Multi-Objective NSGAIII-DL effectively navigates high-dimensional hyperparameter spaces, yielding Pareto-optimal solutions that strike an effective balance between accuracy and F1-score while minimizing model size. …”
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ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models
Published 2025“…Using different strategies to place the arthropods on a charge-coupled device (CCD) flatbed scanner and optimized settings that balance processing time and image quality, we captured high-resolution images of various arthropods and obtained morphological details with resolution and magnification similar to a stereomicroscope. …”
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