IEEE

A study on analysis of design variables in Pareto solutions for conceptual design optimization problem of hybrid rocket engine

Abstract: Genetic Algorithm (GA)[1] is one of the most effective methods in the application to optimization problems. Recently, Multi-objective Genetic Algorithm (MOGA) is focused on in the ...

New algorithm improves gene expression marker identification across diverse biological systems

Researchers have developed a new computational approach that enables more accurate selection of genes that characterize ...

Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Frontiers

Revolutionizing Livestock Breeding: Multi-omics applications and Sustainable Agriculture

The field of livestock genomics has experienced remarkable progress over the past two decades, ushering in a new era of data-driven breeding practices.

DNA origami turns secret messages into nano–Morse code that acts as multiplayer molecular encryption

Mathematics has always been at the core of securing information. From online banking to government communications, modern ...
IEEE

Performance Study of a Surrogate Model-Assisted Optimization for Electric Machines

Optimizing advanced motor designs with Multi-Objective Genetic Algorithms (MOGA) often requires extensive Finite Element Analysis (FEA), leading to computationally expensive problems. This paper aims ...