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...

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Detalles Bibliográficos
Autores principales: Raja, Muhammad Asif Zahoor, Kiani, Adiqa Kausar, Shehzad, Azam, Zameer, Aneela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
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

Internet

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

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