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

Din, Fakhrud and Kamal Zuhairi, Zamli and Abdullah, Nasser (2022) Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 371-380., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4

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DOI/Official URL: https://doi.org/10.1007/978-981-16-8690-0_34

Abstract

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 reasons, SCA can be adopted in many optimization problems quickly and without much tuning. Despite the aforementioned advantages, SCA convergence can still be problematic depending on the initial starting positions of initial populations. In this work, we propose to assess the effectiveness of pseudo random (i.e., Random) as well as three chaotic map initializations (i.e., sine map, circle map, and logistic map) for SCA using the pairwise test case generation as our case study. The original SCA with random initialization (R_SCA) is outperformed on the adopted experiments by the proposed logistic map SCA (LM_SCA), circle map SCA (CM_SCA) and singer map SCA (SM_SCA).

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Chaotic maps; Pairwise testing; Sine cosine algorithm
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	College of Engineering Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	07 Dec 2023 07:48
Last Modified:	07 Dec 2023 07:48
URI:	http://umpir.ump.edu.my/id/eprint/39552
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