Evolutionary Algorithms (EA) are proven techniques designed to obtain better results than classical optimization methods. Most of EA suffer some limitations such as slow convergence; they also have a ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Chinese tech firms kicked off the month with notable AI model launches, including new releases from Alibaba Group Holding Ltd ...

An important issue facing the user is the selection of genetic algorithm parameters, such as mutation rate, mutation range, and number of crossovers. This paper demonstrates a real-valued genetic ...