Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles

Algorithms

Nazım Dugan¹ 

[1] Middle East Technical University, Department of Physics, Ankara, Turkey E-mail

关键词: Genetic algorithms;    Nanoparticles;    Atomic clusters;   

DOI  :  10.3390/a2010410

来源: mdpi

【 摘 要 】

Applications of genetic algorithms to the global geometry optimization problem of nanoparticles are reviewed. Genetic operations are investigated and importance of phenotype genetic operations, considering the geometry of nanoparticles, are mentioned. Other efficiency improving developments such as floating point representation and local relaxation are described broadly. Parallelization issues are also considered and a recent parallel working single parent Lamarckian genetic algorithm is reviewed with applications on carbon clusters and SiGe core-shell structures.

【 授权许可】

CC BY   
© 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.