A New Hybrid Gravitational Search- Black Hole Algorithm

A New Hybrid Gravitational Search- Black Hole Algorithm

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 st...

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Main Authors: Suad Khairi, Mohammed, Zuwairie, Ibrahim, Hamdan, Daniyal, Nor Azlina, Ab. Aziz
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/15750/
http://umpir.ump.edu.my/id/eprint/15750/
http://umpir.ump.edu.my/id/eprint/15750/1/P113%20pg834-842.pdf
id ump-15750
recordtype eprints
spelling ump-157502017-08-22T07:26:23Z http://umpir.ump.edu.my/id/eprint/15750/ A New Hybrid Gravitational Search- Black Hole Algorithm Suad Khairi, Mohammed Zuwairie, Ibrahim Hamdan, Daniyal Nor Azlina, Ab. Aziz TK Electrical engineering. Electronics Nuclear engineering 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. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15750/1/P113%20pg834-842.pdf 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.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Suad Khairi, Mohammed
Zuwairie, Ibrahim
Hamdan, Daniyal
Nor Azlina, Ab. Aziz
A New Hybrid Gravitational Search- Black Hole Algorithm
description 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.
format Conference or Workshop Item
author Suad Khairi, Mohammed
Zuwairie, Ibrahim
Hamdan, Daniyal
Nor Azlina, Ab. Aziz
author_facet Suad Khairi, Mohammed
Zuwairie, Ibrahim
Hamdan, Daniyal
Nor Azlina, Ab. Aziz
author_sort Suad Khairi, Mohammed
title A New Hybrid Gravitational Search- Black Hole Algorithm
title_short A New Hybrid Gravitational Search- Black Hole Algorithm
title_full A New Hybrid Gravitational Search- Black Hole Algorithm
title_fullStr A New Hybrid Gravitational Search- Black Hole Algorithm
title_full_unstemmed A New Hybrid Gravitational Search- Black Hole Algorithm
title_sort new hybrid gravitational search- black hole algorithm
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15750/
http://umpir.ump.edu.my/id/eprint/15750/
http://umpir.ump.edu.my/id/eprint/15750/1/P113%20pg834-842.pdf
first_indexed 2023-09-18T22:20:45Z
last_indexed 2023-09-18T22:20:45Z
_version_ 1777415639965630464

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