Efficient Algorithms for Large Scale Global Optimization: Lennard-Jones Clusters
β Scribed by Marco Locatelli; Fabio Schoen
- Book ID
- 111553841
- Publisher
- Springer US
- Year
- 2003
- Tongue
- English
- Weight
- 146 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0926-6003
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Spatial averaging of the potential energy function facilitates the search for the most stable configuration of a molecular system. Recently some global optimization methods of this kind have been designed in the literature that rely on physical phenomena such as diffusion, wave function evolution in
## Abstract A variation of the previous dynamic lattice searching (DLS) method, named as DLS with constructed core (DLSc), was proposed for structural optimization of LennardβJones (LJ) clusters. In the new method, the starting random structure is generated with an icosahedron or a decahedron as a
## Abstract For improving the efficiency of dynamic lattice searching (DLS) method for unbiased optimization of large LennardβJones (LJ) clusters, a variant of the interior operation (IO) proposed by Takeuchi was combined with DLS. The method is named as DLSβIO. In the method, the IO moves outer at