Quantum circuit algorithms often require architectural design choices analogous to those made in constructing neural and tensor networks. These tend to be hierarchical, modular and exhibit repeating ...
The search for a method to convert the discrete set of all synthesizable molecules to a continuous mathematical space, navigable through simple optimization procedures, has been at the forefront of ...
In a sexual genetic algorithm the initial population is randomly generated with a specified population size parameter. Ideally, there is a considerable amount of divergence between different ...
PyGAD is an open-source, easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch, and it can optimize both ...
Patients with systemic lupus erythematosus (SLE) present varied clinical manifestations, posing a diagnostic challenge for physicians. Genetic factors substantially contribute to SLE development. A ...
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States ...
GenMap is an application mapping framework for spatially mapping CGRAs implemented with Python. It uses a multi-objective genetic algorithm. Therefore, it is easy to add your own objectives to be ...
Biology has changed radically in the past two decades, growing from a purely descriptive science into also a design science. The availability of tools that enable the precise modification of cells, as ...
Genetic recombination processes, such as reassortment, make it complex or impossible to use standard phylogenetic and phylodynamic methods. This is due to the fact that the shared evolutionary history ...
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