White Hole-Black Hole Algorithm

White Hole-Black Hole Algorithm

This paper proposes a new optimization algorithm based on the law of gravity. In the proposed algorithm, the black hole sucks up the star that crosses the event horizon, and a white hole emits the star from its event horizon. Both black and white holes attract stars. The white hole-black hole algor...

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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/15751/
http://umpir.ump.edu.my/id/eprint/15751/
http://umpir.ump.edu.my/id/eprint/15751/1/P112%20pg824-833.pdf
id ump-15751
recordtype eprints
spelling ump-157512017-08-22T07:27:29Z http://umpir.ump.edu.my/id/eprint/15751/ White Hole-Black Hole Algorithm Suad Khairi, Mohammed Zuwairie, Ibrahim Hamdan, Daniyal Nor Azlina, Ab. Aziz TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new optimization algorithm based on the law of gravity. In the proposed algorithm, the black hole sucks up the star that crosses the event horizon, and a white hole emits the star from its event horizon. Both black and white holes attract stars. The white hole-black hole algorithm (WH-BH) starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. The white hole is selected to be the worst candidate (star), and the black hole will be the best star at each iteration of the WH-BH algorithm. The CEC2014 test functions are applied to evaluate the performance of the WH-BH. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15751/1/P112%20pg824-833.pdf Suad Khairi, Mohammed and Zuwairie, Ibrahim and Hamdan, Daniyal and Nor Azlina, Ab. Aziz (2016) White Hole-Black Hole Algorithm. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 824-833.. 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
White Hole-Black Hole Algorithm
description This paper proposes a new optimization algorithm based on the law of gravity. In the proposed algorithm, the black hole sucks up the star that crosses the event horizon, and a white hole emits the star from its event horizon. Both black and white holes attract stars. The white hole-black hole algorithm (WH-BH) starts with an initial population of candidate solutions to an optimization problem and an objective function that is calculated for them. The white hole is selected to be the worst candidate (star), and the black hole will be the best star at each iteration of the WH-BH algorithm. The CEC2014 test functions are applied to evaluate the performance of the WH-BH.
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 White Hole-Black Hole Algorithm
title_short White Hole-Black Hole Algorithm
title_full White Hole-Black Hole Algorithm
title_fullStr White Hole-Black Hole Algorithm
title_full_unstemmed White Hole-Black Hole Algorithm
title_sort white hole-black hole algorithm
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15751/
http://umpir.ump.edu.my/id/eprint/15751/
http://umpir.ump.edu.my/id/eprint/15751/1/P112%20pg824-833.pdf
first_indexed 2023-09-18T22:20:45Z
last_indexed 2023-09-18T22:20:45Z
_version_ 1777415640112431104

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