The Sentinel

Solving optimization problems with machine learning

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

Machine learning model predicts tensile strength of fiber-reinforced polymer composites

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

Research report: A proposed hybrid machine learning and physics-based optimization framework for energy-efficient smart buildings

A hybrid framework combining machine learning, physics-based thermal modelling and optimization achieved up to 26.4 percent ...
AiThority

Gurobi’s 2026 State of Mathematical Optimization Report Reveals Growing Convergence of AI and Optimization

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

Physics-inspired computer architecture solves complex optimization problems

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...