Abstract: With the growing emphasis on sustainable manufacturing, green scheduling has gained prominence from practitioners and researchers in the industry manufacturing enterprises. This article ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...

Add Decrypt as your preferred source to see more of our stories on Google. Social media platform X has open-sourced its Grok-based transformer model, which ranks For You feed posts by predicting user ...

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 ...

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: 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 ...