A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization ...

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...

An interpretable machine learning framework combining Schrödinger optimization and SHAP analysis improved four-class ...

Gurobi Optimization, LLC, the leader in decision intelligence technology, announced the release of its 2026 State of ...

Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and ...

Machine learning models, also called artificial intelligence models, have made astonishing leaps in complexity in recent years and are entering the public realm en masse. Highly visible examples are ...

In recent years, the ability to integrate artificial intelligence and machine learning into WMS has transformed logistics from reactive to predictive — and increasingly, prescriptive — execution. By ...

FlowOpt AI is a machine-learning-based traffic optimization application designed to predict traffic congestion and recommend optimized traffic signal timings. The project combines machine learning, ...

When we talk about using AI at work, we think of drafting text or summarizing papers. However, in the field of science, AI is ...

Machine Learning is an important area of research and practice influencing many diverse application domains and industries. Students may add this concentration to any degree within the College of ...