InfoWorld

AI optimization: How we cut energy costs in social media recommendation systems

Your endless scrolling is an energy vacuum, but "lazy logging" and cutting useless data features are finally reining in AI’s ...
IEEE

Fully Tensorized GPU-Accelerated Multi-Population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...
Total Retail

How I Combined GPT With Classical Optimization to Make Retail AI 85% Faster

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
IEEE

An Efficient Batch Bayesian Optimization Algorithm via Expected Coordinate Improvement

Abstract: Parallel Bayesian optimization is crucial for solving expensive black-box problems, yet batch acquisition strategies remain a challenge. To address this, we propose a novel parallel ...