The canonical genetic algorithm (CGA) applies selection, crossover and mutation operators to solve difficult optimization problems. This paper introduces a new approach to CGA. It applies only ...

This paper proposed a hybrid of genetic algorithm (GA) and differential evolution algorithm (DE) for actual mixed model assembly scheduling. This hybrid algorithm comprehensively integrates the ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and open science that the Human Genome Project helped promote.

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...