Abstract: Constrained multi-objective optimization problems (CMOPs) are widely encountered in engineering and practical applications. The intrinsic conflicts among multiple objectives, coupled with ...

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 ...

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 ...

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 ...

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

Cell death may no longer spell game over for it. Researchers in laboratory settings are now finding a "third state" of life—an unseen biological phase where cells of extinct species reaggregate as new ...

'There is such a huge demand for financing on the African continent that the more the better, and the cheaper the better,' ...