Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms.

Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next ...

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

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 ...

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.

[Kory] has been writing genetic algorithms for a few months now. This in itself isn’t anything unique or exceptional, except for what he’s getting these genetic algorithms to do. [Kory]… ...

The Journal of the Operational Research Society, Vol. 49, No. 11 (Nov., 1998), pp. 1130-1145 (16 pages) We have developed a Genetic algorithm (GA) for the optimisation of maintenance overhaul ...