Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...

How AI Is Revolutionizing Robot Design with Self-Healing Capabilities In recent years, artificial intelligence has leaped ...

Abstract: Efficient and safe path planning for multiple autonomous agents, such as unmanned aerial vehicles (UAVs), is essential in many real-world applications. The objective is to coordinate these ...

Every Wednesday and Friday, TechNode’s Briefing newsletter delivers a roundup of the most important news in China tech, straight to your inbox. Sign up Shenzhen Bi’an Mind Technology, founded in 2021, ...

Abstract: Dynamic multiobjective optimization problems (DMOPs) frequently arise in real-world applications, where environments evolve over time. A central challenge in solving DMOPs is the ability to ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...