Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy

An adaptive gravitational search algorithm (GSA) that switches between synchronous and asynchronous update is presented in this work. The proposed adaptive switching synchronous–asynchronous GSA (ASw-GSA) improves GSA through manipulation of its iteration strategy. The iteration strategy is switched...

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Main Authors:	Nor Azlina, Ab. Aziz, Zuwairie, Ibrahim, Marizan, Mubin, Shahdan, Sudin
Format:	Article
Language:	English
Published:	Springer India 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18673/ http://umpir.ump.edu.my/id/eprint/18673/ http://umpir.ump.edu.my/id/eprint/18673/ http://umpir.ump.edu.my/id/eprint/18673/4/Adaptive%20Switching%20Gravitational%20Search%20Algorithm-%20An%20Attempt%20To%20Improve%20Diversity%20Of%20Gravitational%20Search%20Algorithm%20Through%20Its%20Iteration%20Strategy%201.pdf

id	ump-18673
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spelling	ump-186732018-03-07T01:38:39Z http://umpir.ump.edu.my/id/eprint/18673/ Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Shahdan, Sudin TK Electrical engineering. Electronics Nuclear engineering An adaptive gravitational search algorithm (GSA) that switches between synchronous and asynchronous update is presented in this work. The proposed adaptive switching synchronous–asynchronous GSA (ASw-GSA) improves GSA through manipulation of its iteration strategy. The iteration strategy is switched from synchronous to asynchronous update and vice versa. The switching is conducted so that the population is adaptively switched between convergence and divergence. Synchronous update allows convergence, while switching to asynchronous update causes disruption to the population’s convergence. The ASw-GSA agents switch their iteration strategy when the best found solution is not improved after a period of time. The period is based on a switching threshold. The threshold determines how soon is the switching, and also the frequency of switching in ASw-GSA. ASw-GSA has been comprehensively evaluated based on CEC2014’s benchmark functions. The effect of the switching threshold has been studied and it is found that, in comparison with multiple and early switches, one-time switching towards the end of the search is better and substantially enhances the performance of ASw-GSA. The proposed ASw-GSA is also compared to original GSA, particle swarm optimization (PSO), genetic algorithm (GA), bat-inspired algorithm (BA) and grey wolf optimizer (GWO). The statistical analysis results show that ASw-GSA performs significantly better than GA and BA and as well as PSO, the original GSA and GWO.12 Springer India 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18673/4/Adaptive%20Switching%20Gravitational%20Search%20Algorithm-%20An%20Attempt%20To%20Improve%20Diversity%20Of%20Gravitational%20Search%20Algorithm%20Through%20Its%20Iteration%20Strategy%201.pdf Nor Azlina, Ab. Aziz and Zuwairie, Ibrahim and Marizan, Mubin and Shahdan, Sudin (2017) Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy. Sadhana, 42 (7). pp. 1103-1121. ISSN 0256-2499 (Print); 0973-7677 (Online) https://doi.org/10.1007/s12046-017-0674-0 DOI: 10.1007/s12046-017-0674-0
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 Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Shahdan, Sudin Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
description	An adaptive gravitational search algorithm (GSA) that switches between synchronous and asynchronous update is presented in this work. The proposed adaptive switching synchronous–asynchronous GSA (ASw-GSA) improves GSA through manipulation of its iteration strategy. The iteration strategy is switched from synchronous to asynchronous update and vice versa. The switching is conducted so that the population is adaptively switched between convergence and divergence. Synchronous update allows convergence, while switching to asynchronous update causes disruption to the population’s convergence. The ASw-GSA agents switch their iteration strategy when the best found solution is not improved after a period of time. The period is based on a switching threshold. The threshold determines how soon is the switching, and also the frequency of switching in ASw-GSA. ASw-GSA has been comprehensively evaluated based on CEC2014’s benchmark functions. The effect of the switching threshold has been studied and it is found that, in comparison with multiple and early switches, one-time switching towards the end of the search is better and substantially enhances the performance of ASw-GSA. The proposed ASw-GSA is also compared to original GSA, particle swarm optimization (PSO), genetic algorithm (GA), bat-inspired algorithm (BA) and grey wolf optimizer (GWO). The statistical analysis results show that ASw-GSA performs significantly better than GA and BA and as well as PSO, the original GSA and GWO.12
format	Article
author	Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Shahdan, Sudin
author_facet	Nor Azlina, Ab. Aziz Zuwairie, Ibrahim Marizan, Mubin Shahdan, Sudin
author_sort	Nor Azlina, Ab. Aziz
title	Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
title_short	Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
title_full	Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
title_fullStr	Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
title_full_unstemmed	Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
title_sort	adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy
publisher	Springer India
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18673/ http://umpir.ump.edu.my/id/eprint/18673/ http://umpir.ump.edu.my/id/eprint/18673/ http://umpir.ump.edu.my/id/eprint/18673/4/Adaptive%20Switching%20Gravitational%20Search%20Algorithm-%20An%20Attempt%20To%20Improve%20Diversity%20Of%20Gravitational%20Search%20Algorithm%20Through%20Its%20Iteration%20Strategy%201.pdf
first_indexed	2023-09-18T22:26:35Z
last_indexed	2023-09-18T22:26:35Z
_version_	1777416007077330944

Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy

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