Community driven content discussing all aspects of software development from DevOps to design patterns. The speed and efficiency of traditionally developed software applications is limited by the fact ...

Another name for brute force is exhaustive search. In these algorithms you consider every possible solution in the solution domain to find the optimal solution. Depending on the type of problem that ...

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 ...

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 ...

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 ...