Cargando…
Amoeba-Inspired Heuristic Search Dynamics for Exploring Chemical Reaction Paths
We propose a nature-inspired model for simulating chemical reactions in a computationally resource-saving manner. The model was developed by extending our previously proposed heuristic search algorithm, called “AmoebaSAT [Aono et al. 2013],” which was inspired by the spatiotemporal dynamics of a sin...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2015
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510922/ https://www.ncbi.nlm.nih.gov/pubmed/26129639 http://dx.doi.org/10.1007/s11084-015-9450-5 |