Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial ...

Susheem Kanwar, Ranganath M. Singari, Ravi Butola, Comparison of Genetic Algorithm and Taguchi Optimization Techniques for Surface Roughness of Natural Fiber-Reinforced Polymer Composites, SAE ...

There are several techniques that can be used to select relatively good parent solutions from a population of solutions. Experience with genetic algorithms has shown that it's better to select two ...

However, most of the AI-generated algorithms have databases with populations of European origins and they ignore the genetic and morphological diversity of human populations of around the world.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

By analyzing thousands of genetic risk variants, a new algorithm may be able to predict your risk of developing chronic kidney disease decades before onset.

This paper presents an application of genetic algorithms to forecast short-term demand of natural gas in residences. Residential demand is assumed to be a function of time, heating degree-day value, ...

The results identified 145 genes that affect cartilage cell growth and maturation. The team hopes to study some of these genes further and believes the method could improve GWAS gene assignment ...