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 complexity ...

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 ...

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 ...

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 ...

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, ...

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.

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...