Q-learning whale optimization algorithm for test suite generation with constraints support
This paper introduces a new variant of a metaheuristic algorithm based on the whale optimization algorithm (WOA), the Q-learning algorithm and the Exponential Monte Carlo Acceptance Probability called (QWOA-EMC). Unlike WOA, QWOA-EMC permits just-in-time adaptive selection of its operators (i.e., be...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
Springer
2023
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Online Access: | http://umpir.ump.edu.my/id/eprint/41555/1/Q-learning%20whale%20optimization%20algorithm%20for%20test%20suite%20generation.pdf http://umpir.ump.edu.my/id/eprint/41555/2/Q-learning%20whale%20optimization%20algorithm%20for%20test%20suite%20generation%20with%20constraints%20support.pdf http://umpir.ump.edu.my/id/eprint/41555/ https://doi.org/10.1007/s00521-023-09000-2 |
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http://umpir.ump.edu.my/id/eprint/41555/1/Q-learning%20whale%20optimization%20algorithm%20for%20test%20suite%20generation.pdfhttp://umpir.ump.edu.my/id/eprint/41555/2/Q-learning%20whale%20optimization%20algorithm%20for%20test%20suite%20generation%20with%20constraints%20support.pdf
http://umpir.ump.edu.my/id/eprint/41555/
https://doi.org/10.1007/s00521-023-09000-2