Citation

Ibrahim, Zuwairie and Muhammad, Badaruddin and Ab Aziz, Nor Azlina (2024) Diversity observation of black hole white hole algorithm. In: 3rd International Conference on Computer, Information Technology, and Intelligent Computing (CITIC2023), 26–28 July 2023, Virtual Conference.

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Abstract

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

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Black holes, Optimization algorithms
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Aug 2024 02:08
Last Modified:	01 Aug 2024 02:08
URII:	http://shdl.mmu.edu.my/id/eprint/12691

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