genetic.algo.optimizeR - Genetic Algorithm Optimization
Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package is for learning purposes and allows users to optimize various functions or parameters by mimicking biological evolution processes such as selection, crossover, and mutation. Ideal for tasks like machine learning parameter tuning, mathematical function optimization, and solving an optimization problem that involves finding the best solution in a discrete space.
Last updated 2 months ago
experimentaldesigntechnology
5.34 score 10 scripts 5.5k downloads
BioGA - Bioinformatics Genetic Algorithm (BioGA)
Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package allows users to analyze and optimize high throughput genomic data using genetic algorithms. The functions provided are implemented in C++ for improved speed and efficiency, with an easy-to-use interface for use within R.
Last updated 25 days ago
experimentaldesigntechnology
4.74 score 5 scripts 138 downloads