Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation

• Main Authors: Din, Fakhrud, Kamal Zuhairi, Zamli, Abdullah, Nasser
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• 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

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...