HIGHLIGHTS
- who: Rafael Lahoz-Beltra from the Department of Biodiversity, Ecology and Evolution (Biomathematics), Faculty of Biological Sciences, Modeling, Data Analysis and Computational Tools for Biology Research Group, Complutense University of Madrid, Madrid, Spain have published the article: Solving the Schru00f6dinger Equation with Genetic Algorithms: A Practical Approach, in the Journal: Computers 2022, 169 of /2022/
- what: The authors show how to solve the Schru00f6dinger equation by applying a simple GA. The aim of this kind of algorithm is to modify the values of the weights associated with the neural connections and thus simulate learning, which . . .
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