A new study from researchers at The University of Texas MD Anderson Cancer Center has uncovered how one of the most common ...

This project implements a Genetic Algorithm to solve a Capacitated Vehicle Routing Problem (CVRP). The algorithm assigns customer nodes to multiple vehicles while considering vehicle capacity ...

Genetic algorithms (GAs) are a class of population-based metaheuristic search methods inspired by principles of natural selection and evolution. They solve complex optimisation problems by encoding ...

Abstract: Many evolutionary algorithms have been developed by the researcher. Genetic algorithms and memetic algorithms are most commonly used by researchers to solve various optimization problems.

An estimated 170,000 Australians were diagnosed with cancer in 2025. Many people know the causes of cancer are partly genetic. But how do your genes, which contribute so much of what makes you you, ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for 16-year-old Lucas Wang, it was an opportunity to kick start what he hopes ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

With the high risk and complexity of carrier aircraft recovery, reasonable landing scheduling that accounts for special situations is critical to enhancing operational safety and efficiency. To that ...

Harry Aikines-Aryeetey has myostatin deficiency Getty Images; design: Kelsea Petersen “A blessing and a curse” is how Harry Aikines-Aryeetey describes the genetic quirk that means his body carries ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...