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Memetic computing through bio-inspired heuristics integration with sequential quadratic programming for nonlinear systems arising in different physical models
BACKGROUND: In this study, bio-inspired computing is exploited for solving system of nonlinear equations using variants of genetic algorithms (GAs) as a tool for global search method hybrid with sequential quadratic programming (SQP) for efficient local search. The fitness function is constructed by...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133222/ https://www.ncbi.nlm.nih.gov/pubmed/27995040 http://dx.doi.org/10.1186/s40064-016-3750-8 |