Nature has been observed and studied by researchers in the development of new optimization algorithms including the black hole (BH) algorithm. Variety of fundamental modification has been done mainly to enhance the exploration and exploitation capability of BH, which are important in optimization process. Among others, the BH has been modified by the inclusion of a white hole (WH) operator, which is also inspired by nature. The WH contributes toward the exploration of BH. In order to proof this, an experiment is conducted using 30 benchmark functions from the CEC20214 and the diversity curves of the BHWH and BH algorithm are presented and analyzed. Comparison of the diversity curve of BHWH with the diversity curve of BH only has proven that the introduction of WH operator is able to improve the exploration of BH by increasing the diversity and slowing the diversity convergence.
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27 June 2024
3RD INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION TECHNOLOGY, AND INTELLIGENT COMPUTING (CITIC2023)
26–28 July 2023
Virtual Conference
Research Article|
June 27 2024
Diversity observation of black hole white hole algorithm
Zuwairie Ibrahim;
Zuwairie Ibrahim
a)
1
Fakulti Teknologi Kejuruteraan Pembuatan dan Mekatronik, Universiti Malaysia Pahang Al-Sultan Abdullah
, 26600 Pekan, Pahang, Malaysia
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Badaruddin Muhammad;
Badaruddin Muhammad
b)
2
Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik, Universiti Malaysia Pahang Al-Sultan Abdullah
, 26600 Pekan, Pahang, Malaysia
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Nor Azlina Ab. Aziz
Nor Azlina Ab. Aziz
c)
3
Faculty of Engineering and Technology, Multimedia University
, 75450 Bukit Beruang, Melaka, Malaysia
c)Corresponding author: [email protected]
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AIP Conf. Proc. 3153, 020008 (2024)
Citation
Zuwairie Ibrahim, Badaruddin Muhammad, Nor Azlina Ab. Aziz; Diversity observation of black hole white hole algorithm. AIP Conf. Proc. 27 June 2024; 3153 (1): 020008. https://doi.org/10.1063/5.0217509
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