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 complexity ...

Climate change has necessitated the development of "green" alternatives to replace existing materials. This focus has resulted in the push toward fabricating natural fiber-reinforced polymer ...

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 ...

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 ...

Scientists with UC San Diego's Jacobs School of Engineering and the Qualcomm Institute have developed a new gene prediction algorithm, called MINING-D, that could help researchers investigate the ...

This is a preview. Log in through your library . Abstract A reliability analysis method is presented for time-dependent systems under uncertainty. A level-crossing problem is considered where the ...

A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...