Abstract: In order to reconstruct large-scale gene regulatory networks (GRNs) with high accuracy, a robust evolutionary algorithm, a dynamic multiagent genetic algorithm (dMAGA), is proposed to ...

This is a demo project for applying the concepts of federated learning (FL) in Python using socket programming by building and training machine learning (ML) models using FL. The ML model is trained ...

Patients with systemic lupus erythematosus (SLE) present varied clinical manifestations, posing a diagnostic challenge for physicians. Genetic factors substantially contribute to SLE development. A ...

This paper presents an implementation of the parallelization of genetic algorithms. Three models of parallelized genetic algorithms are presented, namely the Master-Slave genetic algorithm, the Coarse ...

Networks have been an excellent framework for modeling complex biological information, but the methodological details of network-based tools are often described for a technical audience. We have ...

Abstract: With the development and popularization of 5G networks, the coverage problem of the Internet of Things (IoT) will encounter the massive-node problem. In this paper, we design a parallel ...

Thanks so much for your code, and it looks clear logically. I followed your tutorial in https://towardsdatascience.com/genetic-algorithm-implementation-in-python ...