Basically, the Genetic Optimization sub-functions and main function are all connected to the simulink file. above figure shows the Genetic Optimization Algorithm's search pattern and how it has ...

This letter investigates sparse time-modulated arrays (STMAs). It shows that they provide an efficient solution to achieve specified radiation patterns in radar application with a reduced number of ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

Social media algorithms are complex sets of rules and calculations used by social media platforms to prioritize content in users’ feeds. They are like the invisible puppeteers behind the scenes, ...

Press Release In a bold move to redefine the future of human performance and wellbeing, MAXIOM Labs and DNAthlete AG today announced a strategic partnership to combine DNA science and epigenetic ...

A deep genetic algorithm (GA) is proposed to optimize the high-speed channel for signal integrity. In the traditional genetic algorithm-based high-speed channel optimization method, the eye height and ...

Is you're still feeling full after an overindulgent Christmas, here’s something that might bring your appetite back. Scientists have unlocked the genetic code to some of our favourite treats in ...

Min-Sum Algorithm: An iterative decoding technique often employed in LDPC decoders, which simplifies computations compared with the sum-product algorithm by approximating likelihood messages.

DataProcessing: code required to process raw data. GeneScoreResampling, EnsembleEnrichment: code to run both random-gene and randomized-phenotype enrichment analysis. ResultsComparison: code to ...

The tobacco mosaic virus consists of hereditary material and a single protein. Artificial changes in the hereditary material elucidate how it directs the synthesis of the three-dimensional ...

We use genetic algorithms for the optimization of training set composition consisting of tens of thousands of small organic molecules. The resulting machine learning models are considerably more ...