The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

The article debunks the common belief that trial-and-error improvements equate to true optimization. It provides a deep dive into how RTO works—from mathematical ...

I’ve been around long enough in the tech industry to see tech promises come and go, some fizzling out, others flipping the world upside down. But this thing brewing between quantum computing and AI?

Abstract: Online advertising is typically implemented via real-time bidding, and advertising campaigns are then defined as extremely high-dimensional optimization problems. To solve these problems in ...

What if a handheld gaming device could deliver a seamless experience with a demanding title like Doom: The Dark Ages? The ROG Ally X, paired with SteamOS 3.8, comes tantalizingly close to achieving ...

Abstract: Optimization of nearest-neighbor feature selection depends on the number of samples and features, the type of statistical effect, the feature scoring algorithm, and class imbalance. We ...

ABSTRACT: The Kelly strategy is renowned for its theoretically optimal long-term growth, however, its practical application in financial markets is constrained by several limitations, including ...