Abstract: The knapsack problem is a classic NP-hard optimization challenge with wide-ranging applications in computer science, such as resource allocation. While several variants have been developed, ...

Have We Been Thinking About A.D.H.D. All Wrong? With diagnoses at a record high, some experts have begun to question our assumptions about the condition — and how to treat it. Supported by With ...

Virtual threads, revealed in Java's Project Loom and generally available with the Java 21 LTS, promise unparalleled scalability, simplified asynchronous coding and more efficient resource utilization.

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...

Abstract: The multiple-choice knapsack problem (MCKP) is a classic NP-hard combinatorial optimization problem. Motivated by several significant real-world applications, this work investigates a novel ...

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...