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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...
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| Publicado no: | Orig Life Evol Biosph |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4510922/ https://ncbi.nlm.nih.gov/pubmed/26129639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11084-015-9450-5 |
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