Yet another package for lightweight applications of GA in Python. This package provides utilities for implementation of Genetic Algorithm (Holland 1962) for multivariate, multimodal optimization ...
Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...
This repository implements a genetic algorithm (GA) in Python3 programming language, using only Numpy and Joblib as additional libraries. It provides a basic StandardGA model as well as a more ...
Abstract: This study proposes a hybrid framework for optimizing last-mile delivery routes that combines Genetic Algorithm (GA), Integer Programming (IP), and machine learning (ML)-based clustering and ...
The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, ...
Abstract: This study optimizes an optical phased array using a genetic algorithm. Simulations of dualgate antennas achieve phase variation from 0 to $2 \pi$ and analyze far-field intensity. We ...
Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
There are probably around 20,000 genes in the human genome that code for protein, and cells have to transcribe DNA sequences into RNA, which is then processed before it is translated into proteins by ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results