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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2022
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| 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 |
| _version_ | 1848825797233606656 |
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| author | Din, Fakhrud Kamal Zuhairi, Zamli Abdullah, Nasser |
| author_facet | Din, Fakhrud Kamal Zuhairi, Zamli Abdullah, Nasser |
| author_sort | Din, Fakhrud |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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). |
| first_indexed | 2025-11-15T03:34:38Z |
| format | Conference or Workshop Item |
| id | ump-39552 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:34:38Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-395522023-12-07T07:48:50Z http://umpir.ump.edu.my/id/eprint/39552/ Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation Din, Fakhrud Kamal Zuhairi, Zamli Abdullah, Nasser QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) 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). Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39552/1/Assessing%20the%20Chaotic%20Map%20Population%20Initializations%20for%20Sine%20Cosine.pdf pdf en 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 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 (Published) https://doi.org/10.1007/978-981-16-8690-0_34 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Din, Fakhrud Kamal Zuhairi, Zamli Abdullah, Nasser Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| title | Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| title_full | Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| title_fullStr | Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| title_full_unstemmed | Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| title_short | Assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| title_sort | assessing the chaotic map population initializations for sine cosine algorithm using the case study of pairwise test suite generation |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/39552/ 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 |