One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given site. Poor turbine placement can lead to reduced energy capture due to wake ...

By learning low-rank representations of problem spaces, this method reliably avoids local optima, thereby addressing long-standing issues associated with evolutionary algorithms [3].

Recently, Professor Jiao Licheng's team at Xidian University conducted a systematic and in-depth review of the integration of large language models and evolutionary algorithms. The review ...

As cities worldwide begin embracing low-altitude logistics to support rapid, flexible deliveries by drones, urban planners face an increasingly ...

Discover Alpha Evolve, Google’s self-improving AI that’s redefining intelligence and reshaping the future of technology and innovation.

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Over time, humans have drawn inspiration form animals. We marvel at what they can do and wonder how they do things. Frome birds flying to ...

In the fast-paced field of High Performance Computing (HPC), the convergence of Artificial Intelligence (AI) and Big Data Analysis signals a groundbreaking ...

FANDANGO, a new open-source fuzzing tool, uses an evolutionary algorithm to automatically generate myriads of high-quality test inputs that satisfy defined constraints. Advancing language-based ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA ...