Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation
Sine Cosine Algorithm (SCA) is a new population based meta-heuristic algorithm that exploits both the sine and cosine functions for its update operators. The main strength of SCA is its simplicity and straightforward implementation as well as provides no parameter control adjustment. For these reaso...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39552/1/Assessing%20the%20Chaotic%20Map%20Population%20Initializations%20for%20Sine%20Cosine.pdf http://umpir.ump.edu.my/id/eprint/39552/2/Assessing%20the%20chaotic%20map%20population%20initializations%20for%20sine%20cosine%20algorithm%20using%20the%20case%20study%20of%20pairwise%20test%20suite%20generation_ABS.pdf http://umpir.ump.edu.my/id/eprint/39552/ https://doi.org/10.1007/978-981-16-8690-0_34 |
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http://umpir.ump.edu.my/id/eprint/39552/1/Assessing%20the%20Chaotic%20Map%20Population%20Initializations%20for%20Sine%20Cosine.pdfhttp://umpir.ump.edu.my/id/eprint/39552/2/Assessing%20the%20chaotic%20map%20population%20initializations%20for%20sine%20cosine%20algorithm%20using%20the%20case%20study%20of%20pairwise%20test%20suite%20generation_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39552/
https://doi.org/10.1007/978-981-16-8690-0_34