The approach combines a new genetic algorithm using empirical interatomic potentials to explore the configurational phase space of boundaries, and thereafter refining structures and free energies ...

We present a genetic algorithm for the multiple-choice integer program that finds an optimal solution with probability one (though it is typically used as a heuristic). General constraints are relaxed ...

In order to maximize the efficiency, a heuristic search based algorithm - Genetic Algorithm (GA) is used. The problem is formulated as a multi-objective optimization problem (MOOP) where overall ...

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.

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

Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

An AI algorithm based on the genomic database was then used to analyse the DNA of 454,000 human participants in the UK Biobank project, with the results showing “greatly improved genetic risk ...