صورة الغلاف

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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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Suad Khairi, Mohammed, Zuwairie, Ibrahim, Hamdan, Daniyal, Nor Azlina, Ab. Aziz
التنسيق: Conference or Workshop Item
اللغة:English
منشور في: Universiti Malaysia Pahang 2016
الموضوعات:
TK Electrical engineering. Electronics Nuclear engineering
الوصول للمادة أونلاين:http://umpir.ump.edu.my/id/eprint/15750/1/P113%20pg834-842.pdf
http://umpir.ump.edu.my/id/eprint/15750/
http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
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id my.ump.umpir.15750
record_format eprints
spelling my.ump.umpir.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
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
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/15750/1/P113%20pg834-842.pdf
http://umpir.ump.edu.my/id/eprint/15750/
http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
_version_ 1822917977829277696
score 13.251813

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