Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Luke Fox: The goal of using the genetic algorithm was to create an optimal massing that prioritized the creation of a central public square and maximized views for the building's occupants.

Biotech Flagship hopes biotechs will flock to Mirai’s algorithm-based platform to enhance their genetic meds By James Waldron Sep 26, 2024 6:00am ...

A genetic algorithm for phononic crystals Date: July 3, 2024 Source: Institute of Industrial Science, The University of Tokyo Summary: Researchers tested phononic nanomaterials designed with an ...

In this two-part GEN webinar series, our expert speakers Garry Nolan, PhD, (Part 1) will discuss MaxFuse, a new AI algorithm that provides reliable, fast, and cost-effective integration of spatial ...

In the early 1990s, while pursuing a Master's in Computer Science, my research and subsequent thesis was in one such area known as Genetic Algorithms. The idea I was exploring revolved around ...

Article citations More>> Goldberg, D.E. and Richardson, J. (1987) Genetic Algorithms with Sharing for Multimodal Function Optimization. Genetic Algorithms and their Applications: Proceedings of the ...

PrimateAI-3D was trained on the genetic blueprints of 233 primate species to help scientists sift through millions of variants and find ones that can cause harm.

The Genetic algorithm works to optimize neural networks by adjusting the weights and the bias. In order to give more accuracy in a neural network, use a hybrid genetic algorithm. In the paper [9] , ...