A new hybrid framework combining physical models and LSTM networks improves the accuracy and efficiency of seismic damping ...
Researchers have introduced Hooded Seal optimization, a swarm-based evolutionary metaheuristic that outperformed or matched ...
Effective energy management for optimizing energy and speed allocation for athletes in road cycling individual time trials is crucial due to the race’s long distances. Existing strategies often ...
Abstract: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...
A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...
Abstract: In this paper a method for fault reconfiguration within shipboard microgrids is introduced using a model-based optimization approach based on genetic algorithms. The optimization uses a ...
Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across the globe to preserve cultural heritage that would otherwise be lost ...
This project implements three different algorithms to optimize intial aircraft design parameters. By testing gradient descent, A*, and genetic algorithms, we identify the best strategies to optimize ...
Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
Structural designs (i.e. truss structures) are derived by the use of a three phase genetic optimization approach, where the minimization of volume is the objective of each truss structure considered.
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