IEEE

GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms

Abstract: The growing complexity of modern network systems has increased the need for efficient multi-objective routing (MOR) algorithms. However, existing MOR methods face significant challenges, ...
BioSpace

Allelica Launches AbsoluteDx: The Most Comprehensive Genetic Risk Assessment, Combining Monogenic and Polygenic Insights Across Multiple Diseases

SAN FRANCISCO, Oct. 9, 2025 /PRNewswire/ -- Allelica, the global leader in clinical polygenic risk score (PRS) testing, today announced the launch of AbsoluteDx, a comprehensive, clinical genetic test ...
Frontiers

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms

Background: Forward head posture frequently occurs among primary school children, potentially due to prolonged sedentary behavior associated with academic demands and reduced physical activity.
Scientific Research Publishing

Optimization Design of Curved Wing Box Based on BP-Multi-Objective Genetic Algorithm ()

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...
Scientific Research Publishing

Optimal Planning of Multiple PV-DG in Radial Distribution Systems Using Loss Sensitivity Analysis and Genetic Algorithm ()

This paper introduces an optimized planning approach for integrating photovoltaic as distributed generation (PV-DG) into the radial distribution power systems, utilizing exhaustive load flow (ELF), ...