Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

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 ...

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The technique used on a 9½-month-old boy with a rare condition has the potential to help people with thousands of other uncommon genetic diseases. KJ Muldoon was born with a rare genetic disorder, ...

Abstract: This paper presents an optimization approach using genetic algorithms to improve the handling and ride comfort of a quarter car model on different terrains. The suspension settings are ...

Abstract: Parameter optimization of active suspension in in-wheel motor driven electric vehicle using genetic algorithm (GA) is presented. In such vehicles, placing the motors in the wheel results in ...