Genetic programming (GP) has emerged as a potent evolutionary methodology for autonomously designing image classifiers and extracting relevant features.

Once someone creates the genetic equivalent of a "Hello, World" program, demonstrating just how simple it is to create such creatures, genetic programming will have come into its own.

Novel genomic screening tool enables precision reverse-engineering of genetic programming in cells Date: April 4, 2025 Source: Dana-Farber Cancer Institute Summary: Collaborative research defines ...

Genetic programming has been positioned as a fit-for-purpose approach for symbolic regression. Researchers tend to select algorithms that produce a model with low complexity and high accuracy.

An introduction to both automatic differentiation and object-oriented programming can enrich a numerical analysis course that typically incorporates numerical differentiation and basic MATLAB ...

Fine-grained flower image classification (FGFIC) is challenging due to high similarities among species and variations within species, especially with limited training data. Existing genetic ...

The DNA regions they identified as important occupy less than 0.3% of the genome, but they explain a disproportionately large share of the genetic influence on blood cell features and specialization.

However, to precisely design sophisticated genetic circuits, interference between biological parts must be minimized, and encoding density must be increased for efficient gene circuit integration.