A hybrid Q-learning sine-cosine-based strategy for addressing the combinatorial test suite minimization problem

The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In addition to exploiting sine and cosine functions to perform local and global searches (hence the name sine-cosine), the SCA introduces several random and adaptive parameters to facilitate the search process. Altho...

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Detalles Bibliográficos
Autores principales: Zamli, Kamal Z., Din, Fakhrud, Ahmed, Bestoun S., Bures, Miroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5957446/
https://www.ncbi.nlm.nih.gov/pubmed/29771918
http://dx.doi.org/10.1371/journal.pone.0195675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5957446/
https://www.ncbi.nlm.nih.gov/pubmed/29771918
http://dx.doi.org/10.1371/journal.pone.0195675

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