In this paper, single and multi-objective robust optimization of a microgrid (MG) including photovoltaic (PV) and wind turbine (WT) sources with battery storage has been performed in a radial 33-bus ...

Global optimization problems where evaluation of the objective function is an expensive operation arise frequently in engineering, decision making, optimal control, etc. There exist two huge but ...

Focus Universal Inc. (Nasdaq: FCUV) today formally continued to introduce further facets of proprietary Deterministic AI platform: a new class of artificial intelligence as a distinct category of ...

In the high-stakes arena of modern software development, where speed and security collide, a quiet revolution is unfolding. While GenAI dominates headlines with its creative potential, a less ...

Formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems. Efficient algorithmic methods and use of oomputer modeling languages and systems ...

To create faster computers, the industry must take a major step back and re-examine choices that were made half a century ago. One of the most likely approaches involves dropping demands for ...

We haven't exactly worked out all of AI's kinks yet. Just try asking ChatGPT to solve a basic math problem or tell you how many R's are in "strawberry." You'll get a different, probably unhinged, ...

Imagine you're training for a marathon. You could try to improve your performance by running every day and adjusting your diet based on how you feel. But what if you had a personal AI coach? This ...

What is robust design optimization (RDO), and is it better than standard optimization? In this customer case, we describe a multi-disciplinary optimization of a turbocharger compressor from Ford Motor ...