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 ...

Abstract: Enhancing energy efficiency is pivotal for advancing robotic lower limb prostheses. However, the conventional control strategy in powered prostheses displays notable variance in energy ...

Multi-agent systems are becoming a critical development in artificial intelligence due to their ability to coordinate multiple large language models (LLMs) to solve complex problems. Instead of ...

Multi-agent AI systems utilizing LLMs are increasingly adept at tackling complex tasks across various domains. These systems comprise specialized agents that collaborate, leveraging their unique ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

Given a multi asset trading the following assets: interest rates swaps, fixed income futures, interest rate options and foreign exchange, if you are hired as a lead quant researcher and given the ...

1 Swarm and Computational Intelligence Laboratory (SwaCIL), Department of Computer Science, Durham University, Durham, United Kingdom 2 Artificial Intelligence Center, Faculty of Electrical ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...