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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Public Library of Science
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22593/ http://umpir.ump.edu.my/id/eprint/22593/ http://umpir.ump.edu.my/id/eprint/22593/ http://umpir.ump.edu.my/id/eprint/22593/1/journal.pone.0195187.t006.ppt http://umpir.ump.edu.my/id/eprint/22593/2/A%20hybrid%20Q-learning%20sine-cosine-based%20strategy.pdf |