IEEE

A Dynamic Multiagent Genetic Algorithm for Gene Regulatory Network Reconstruction Based on Fuzzy Cognitive Maps

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 ...
GitHub

DarkGreyBox: An open-source data-driven python building thermal model inspired by Genetic Algorithms and Machine Learning

Constructing simple, accurate and easy-to-interpret thermal models for existing buildings is essential in reducing the environmental impact of our built environment. DarkGreyBox provides a data-driven ...
Frontiers

Hybridized bio-inspired intrusion detection system for Internet of Things

The Internet of Things (IoT) consists of several smart devices equipped with computing, sensing, and network capabilities, which enable them to collect and exchange heterogeneous data wirelessly. The ...
Frontiers

Random forests algorithm boosts genetic risk prediction of systemic lupus erythematosus

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

Parallel Genetic Algorithm to Extend the Lifespan of Internet of Things in 5G Networks

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 ...
GitHub

Inconsistency between codes in tutorial and the codes in github

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