An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. This work focuses on the selection type of hyper-heuristic, called the exponential Monte Carlo with counter (EMCQ). Current implementation...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/29225/1/2.%20An%20evaluation%20of%20Monte%20Carlo-based%20hyper-heuristic.pdf https://doi.org/10.1007/s00500-020-04769-z https://umpir.ump.edu.my/id/eprint/29225/ |
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