This project implements and compares two powerful evolutionary optimization algorithms: Differential Evolution (DE) and Genetic Algorithm (GA). Both algorithms are applied to a suite of benchmark ...

Unlocking the potential of green hydrogen production through AI and ML, revolutionizing the industry and driving towards ...

exhibits superior performance among the designed hybrid genetic algorithms, the minimum marginal cost algorithm (MMA), and the existing popular Co-evolutionary Multi-population Genetic Algorithm (CMGA ...

Founder and CEO, ClairLabs urges enterprises to overcome significant hurdles such as data inaccessibility, silos, inaccuracy, ...

IT can’t sit back - the company’s 2,000 technology professionals must drive the identification of digital solutions to ...

In this modern era, the integration of machine learning and real-time predictive analytics is reshaping healthcare systems ...

An overview of the advertising technology (adtech) industry and relevant US and EU privacy laws, including the Federal Trade ...

Abstract: Traditional evolutionary optimization algorithms often presuppose ... to improve the performance of Genetic Algorithm (GA) for route sequencing problem. Our framework utilizes ML to capture ...

One of AI’s most immediate impacts is in screening and identifying patients who may have asymptomatic or paroxysmal AF, those ...

In response to the US government mandate to modernize clinical trials, the US Food and Drug Administration (FDA) introduced a "Framework for the Use of DHTs in Clinical Trials," defining digital ...