The rapid development of IoT technology has raised higher requirements for network performance. To cultivate high-quality talents that meet industry demands, Weizhong has launched the "IoT Network ...

Explore Autodesk's strategic AI advances, margin targets, and the future of design automation from their 2025 Goldman Sachs Technology Conference.

We experimentally compared and ranked the optimization methods that fall under each objective function, the objective functions that fall under each objective category, and the objective categories ...

Some Problems directory files and Public directory files are same as PlatEMO. I hope visitors can help their visual understanding of multi-objective optimization problem.

I’ve been keeping track of AI since the early 1970s when I read a book, “The Sciences of the Artificial” by Herbert A. Simon, ...

Trust region (TR) and adaptive regularization using cubics (ARC) have proven to have some very appealing theoretical properties for nonconvex optimization by concurrently computing function value, ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad \textrm{s.t.}~ \quad L \leq Ax \leq ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

As part of Google AI Ultra subscription, Gemini 2.5 Deep Think is a model designed for creative problem-solving through the use of parallel thinking techniques and extended inference time.

Methods: To address this challenge, a model-based simulation framework integrating Type-2 fuzzy logic and Particle Swarm Optimization (PSO) was developed. The proposed strategy employs a Type-2 fuzzy ...