Abstract: Machine Learning (ML)-based optimization frameworks emerge as a promising technique for solving large-scale Mixed Integer Linear Programs (MILPs), as they can capture the mapping between ...

Moving heavy materials through cutting, polishing and coating stages requires precise balancing of load capacity and motion speed. Here’s how the right linear guidance selection and configuration can ...

NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

JavaScript is a programming language that developers use to make interactive webpages. JavaScript has made webpages and web applications dynamic. It is responsible for refreshing social media feeds, ...

Supply chain leaders have long turned to optimization to make sense of complexity. From network design to replenishment, mathematical models promise clarity in the face of uncertainty. However, while ...

RiverWare optimization can simultaneously solve over multiple reservoirs and multiple time periods with objectives such as maximizing hydropower value and balancing reservoir operations and impacts.

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...

Scientists have used a CPLEX-based MIP model and tested it on a section of the 10 MW Masdar City Solar Photovoltaic Plant. In their simulation, they assume the use of two robotic cleaners to operate ...