Computational intelligence methods in searching of stable configurations of nanostructures

Adam Mrozek¹ , Wacław Kuś², Tadeusz Burczyński^1,2

¹Cracow University of Technology, Institute of Computer Science, Cracow, Poland.
²Silesian University of Technology, Department for Strength of Materials and Computational Mechanics, Gliwice, Poland.

DOI:

https://doi.org/10.7494/cmms.2011.1.0311

Abstract:

Application of evolutionary algorithm, artificial immune system and particle swarm optimization in the minimization atomic cluster’s total potential energy is presented in this work. These methods of computational intelligence simulate biological processes of the natural environment and organisms such as theory of evolution and biological immune systems and give a strong probability of finding the global optimum. Some examples and discussion on the results of optimization are also presented in this paper.

Cite as:

Mrozek, A., Kuś, W., & Burczyński, T. (2011). Computational intelligence methods in searching of stable configurations of nanostructures. Computer Methods in Materials Science, 11(1), 46 – 52. https://doi.org/10.7494/cmms.2011.1.0311

Article (PDF):

Keywords:

Nanostructure, Intelligence methods, Evolutionary algorithms, Artificial immune system, Particle swarm optimization, Modelling

References: