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

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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Bibliographic Details
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/
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

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