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 ...

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 ...

moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

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 ...

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 ...

The considered optimization problem is NP-hard, that is why we proposed a two-level based genetic algorithm in order to solve it. The computational results reported on a set of existing benchmark ...

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.