Transform of Artificial Immune System algorithm optimization based on mathematical test function
Artificial intelligence; Control systems; Functions; Gallium; Genetic algorithms; Immune system; Mathematical transformations; Artificial Immune System; Artificial immune system algorithms; Biological immune system; Complex optimization problems; Global searching; Hybrid algorithms; Hyper mutation;...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-232592023-05-29T14:38:52Z Transform of Artificial Immune System algorithm optimization based on mathematical test function Yaw M.W. Chong K.H. Kamil K. 54584659100 36994481200 57195622807 Artificial intelligence; Control systems; Functions; Gallium; Genetic algorithms; Immune system; Mathematical transformations; Artificial Immune System; Artificial immune system algorithms; Biological immune system; Complex optimization problems; Global searching; Hybrid algorithms; Hyper mutation; Test functions; Optimization Artificial Immune System (AIS) is inspired by nature biological immune system. AIS algorithm has ability to improve the global searching during optimization. However, hypermutation of AIS itself cannot always guarantee a better solution for convergence and accuracy. Therefore Genetic Algorithm (GA) has been used efficiently in solving complex optimization problems. The capability of individual algorithm can makes the new algorithm techniques more efficiency by overcome the shortcomings and without losing their own advantages. This paper demonstrates a hybrid algorithm known as Transform of Artificial Immune System (Trans-AIS) by combining AIS and GA algorithm. There are three mathematical test function are used for comparison to achieve the minimum value which are Rastrigin's, DeJong's and Griewank's functions. In this paper, the simulation of the test function results by using AIS and Trans-AIS will compare with optimization results by other researchers. By comparing the results, it is observed that the performance of Trans-AIS is comparable (if not superior) to other researchers' algorithm. � 2016 IEEE. Final 2023-05-29T06:38:52Z 2023-05-29T06:38:52Z 2017 Conference Paper 10.1109/ICCSCE.2016.7893561 2-s2.0-85019000127 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019000127&doi=10.1109%2fICCSCE.2016.7893561&partnerID=40&md5=8da9fb901c622f01af920e5f5b270ee4 https://irepository.uniten.edu.my/handle/123456789/23259 7893561 147 150 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Artificial intelligence; Control systems; Functions; Gallium; Genetic algorithms; Immune system; Mathematical transformations; Artificial Immune System; Artificial immune system algorithms; Biological immune system; Complex optimization problems; Global searching; Hybrid algorithms; Hyper mutation; Test functions; Optimization |
| author2 |
54584659100 |
| author_facet |
54584659100 Yaw M.W. Chong K.H. Kamil K. |
| format |
Conference Paper |
| author |
Yaw M.W. Chong K.H. Kamil K. |
| spellingShingle |
Yaw M.W. Chong K.H. Kamil K. Transform of Artificial Immune System algorithm optimization based on mathematical test function |
| author_sort |
Yaw M.W. |
| title |
Transform of Artificial Immune System algorithm optimization based on mathematical test function |
| title_short |
Transform of Artificial Immune System algorithm optimization based on mathematical test function |
| title_full |
Transform of Artificial Immune System algorithm optimization based on mathematical test function |
| title_fullStr |
Transform of Artificial Immune System algorithm optimization based on mathematical test function |
| title_full_unstemmed |
Transform of Artificial Immune System algorithm optimization based on mathematical test function |
| title_sort |
transform of artificial immune system algorithm optimization based on mathematical test function |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806428224077430784 |
| score |
13.223943 |