Efficient Improvement of Silage Additives by Using Genetic Algorithms
The enormous variety of substances which may be added to forage in order to manipulate and improve the ensilage process presents an empirical, combinatorial optimization problem of great complexity. To investigate the utility of genetic algorithms for designing effective silage additive combinations...
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| Publicado en: | Appl Environ Microbiol |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Society for Microbiology (ASM)
2000
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC92005/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/10742224/ https://ncbi.nlm.nih.govhttps://doi.org/10.1128/aem.66.4.1435-1443.2000 |
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