High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

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 ...

In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...

Abstract: Evolutionary Algorithms (EAs) are effective for solving Multi-Modal Multi-Objective Optimization Problems which optimal solutions subsets distributed regularly in the decision space.

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

While quantum computers evolve and become commercialized, IonQ, Rigetti Computing, D-Wave Quantum, and Quantum Computing Inc.

Human-centric innovations, like virtual and augmented reality (VR/AR), IoT-driven adaptive systems, and genetic algorithms ...

The award “recognises and encourages young scientists up to the age of 45 years who have made an exceptional contribution in ...

As the world becomes more interconnected, some plants have benefited from a greater ease in movement from one region to ...