Proteins are life's molecular workhorses, doing everything from turning sunlight into food to fighting viruses. They are ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

Across two new papers published Wednesday (July 23) in the journal Nature, scientists sequenced the DNA of 1,084 people ...

In the realm of medicinal chemistry, the predominant challenge in molecular design lies in managing extensive molecular data sets and effectively screening for, as well as preserving, molecules with ...

The article discusses the development and study of a new matrix-based hybrid genetic algorithm (MBHGA) for solving an agent-based model of firms’ behavior with controlled trade interactions. The ...

To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization efficiency while ...

(4) Basic positional variation operator: periodic random updates of the population to introduce new patterns into the chromosomes, accomplished by randomly changing one or more chromosome values. 3 ...

During the process of determining the arrival directions and beam conformation at the antennas, different types of algorithms can be used, namely deterministic algorithms and heuristics. Genetic ...

This paper mainly introduces an optimized matching pursuit algorithm for the reconstruction of seismic reflection events. It adopts intelligent optimization algorithms of genetic algorithm (GA) and ...

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...