Abstract: The purpose of this study was to develop an evolutionary algorithm (EA) with bilevel surrogate modeling, called BL-SAEA, for tackling bilevel optimization problems (BLOPs), in which an upper ...

Abstract: Evolutionary algorithms (EAs) show strong adaptability in solving the complex optimization problems. Fitness evaluation is an important step of EA. In this step, the fitness of individuals ...

If leading AI companies are announcing new models that are supposed to be more powerful and reliable, then why is user trust ...

Pie, which spent the past year building quietly, is betting small businesses need help showing up in AI search the way they ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

While they may solve some of programmatic advertising's biggest problems, curated deals still introduce their own specific ...

Gurobean, companion to the "Burrito Optimization Game" with 85,000+ plays, introduces advanced concepts like nonlinearity and ...

Charles G. Goulding examines how advanced 3D printing and copper engineering could unlock the next phase of AI expansion ...

Discover how the best route optimization software improves driver performance, reduces costs, boosts fleet efficiency, and ...

Classical computing gave us automation. What's coming next is something closer to a factory that thinks. But getting there requires two technologies converging in a way that many might not fully ...

Welcome to WP Intelligence’s AI & Tech Brief, where we examine the transformative technology of artificial intelligence at ...

Microsoft’s new Majorana 2 quantum chip offers 1,000 times more reliability. Learn how AI agents and lead superconductors ...