A New Hybrid Gravitational Search- Black Hole Algorithm

Suad Khairi, Mohammed and Zuwairie, Ibrahim and Hamdan, Daniyal and Nor Azlina, Ab. Aziz (2016) A New Hybrid Gravitational Search- Black Hole Algorithm. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang. pp. 834-842..

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This paper studies the solution of optimization problems using a new hybrid population-based algorithm. The Gravitational Search – Black Hole Algorithm (GSBHA) is proposed as a combination of the Black Hole Algorithm (BHA) and Gravitational Search Algorithm (GSA). The main idea is to improve the standard BHA by using GSA. To evaluate the performance of GSBHA, standard test functions of CEC 2014 for real-parameters are used to compare the hybrid algorithm with both the standard BHA and GSA algorithms in evolving the best solution. The results obtained demonstrate better performance of the hybrid algorithm and better capability to escape from local optimums with faster convergence than the standard BHA and GSA.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Optimization, Black Hole, Gravitational Search Algorithm, Hybrid algorithms and CEC14
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Rosfadilla Mohamad Zainun
Date Deposited: 13 Dec 2016 00:34
Last Modified: 22 Aug 2017 07:26
URI: http://umpir.ump.edu.my/id/eprint/15750
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