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.

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...

Amid the genetic medicines arms race, Flagship Pioneering is unveiling a new company to help biotechs fine-tune the precision of their therapies.

An independent evaluation using methodology like the one used to test AvertD found that the algorithm gave the appearance of predicting genetic risk but was not a true measure of genetic risk ...

The algorithm is initially tested with Rastrigin’s function and compared with Genetic algorithm results for the function with the same initial conditions. After this, it is used in tuning the gains of ...

This work addresses the application of the Genetic Algorithm (GA) technique to optimize the commutation angles of a 2 kW 8/6 switched reluctance machine (SRM). The primary goal is to reduce the ...

This paper introduces the theory of genetic algorithm. The specific operation flow of genetic algorithm is described. The application of genetic algorithm in function optimization has been achieved by ...