Adaptive sine-cosine algorithms for global optimization

This paper introduces improved versions of a Sine-Cosine algorithm called Adaptive Sine-Cosine algorithms. It is made adaptive through incorporation of a linear and an exponential term with respect to an individual agent’s fitness. Based on the newly introduced formulas, an individual agent moves wi...

Full description

Bibliographic Details
Main Authors:	Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Shuhairie, Mohammad, Ahmad Azwan, Abdul Razak, Haszuraidah, Ishak
Format:	Conference or Workshop Item
Language:	English English
Published:	2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/23490/ http://umpir.ump.edu.my/id/eprint/23490/1/8.%20Adaptive%20sine-cosine%20algorithms%20for%20global%20optimization.pdf http://umpir.ump.edu.my/id/eprint/23490/2/8.1%20Adaptive%20sine-cosine%20algorithms%20for%20global%20optimization.pdf

id	ump-23490
recordtype	eprints
spelling	ump-234902019-01-01T12:38:40Z http://umpir.ump.edu.my/id/eprint/23490/ Adaptive sine-cosine algorithms for global optimization Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Shuhairie, Mohammad Ahmad Azwan, Abdul Razak Haszuraidah, Ishak TK Electrical engineering. Electronics Nuclear engineering This paper introduces improved versions of a Sine-Cosine algorithm called Adaptive Sine-Cosine algorithms. It is made adaptive through incorporation of a linear and an exponential term with respect to an individual agent’s fitness. Based on the newly introduced formulas, an individual agent moves with a dynamic and different step sizes compared to other agents through the whole searching process. It also introduces a balance exploration and exploitation strategies. The proposed algorithms in comparison to the original algorithm are then tested with several test functions that have different properties and landscapes. The algorithms performance in terms of their achievement of finding a near optimal solution is analyzed and discussed. Numerical result of the test shows that the proposed algorithms have achieved a better accuracy. The finding also shows that the proposed algorithms have attained a faster convergence toward the near optimal solution. 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23490/1/8.%20Adaptive%20sine-cosine%20algorithms%20for%20global%20optimization.pdf pdf en http://umpir.ump.edu.my/id/eprint/23490/2/8.1%20Adaptive%20sine-cosine%20algorithms%20for%20global%20optimization.pdf Mohd Falfazli, Mat Jusof and Ahmad Nor Kasruddin, Nasir and Shuhairie, Mohammad and Ahmad Azwan, Abdul Razak and Haszuraidah, Ishak (2018) Adaptive sine-cosine algorithms for global optimization. In: 2018 IEEE International Conference On Automatic Control And Intelligent Systems (I2CACIS 2018), 20 - 21 October 2018 , Shah Alam, Selangor. pp. 1-5.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Shuhairie, Mohammad Ahmad Azwan, Abdul Razak Haszuraidah, Ishak Adaptive sine-cosine algorithms for global optimization
description	This paper introduces improved versions of a Sine-Cosine algorithm called Adaptive Sine-Cosine algorithms. It is made adaptive through incorporation of a linear and an exponential term with respect to an individual agent’s fitness. Based on the newly introduced formulas, an individual agent moves with a dynamic and different step sizes compared to other agents through the whole searching process. It also introduces a balance exploration and exploitation strategies. The proposed algorithms in comparison to the original algorithm are then tested with several test functions that have different properties and landscapes. The algorithms performance in terms of their achievement of finding a near optimal solution is analyzed and discussed. Numerical result of the test shows that the proposed algorithms have achieved a better accuracy. The finding also shows that the proposed algorithms have attained a faster convergence toward the near optimal solution.
format	Conference or Workshop Item
author	Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Shuhairie, Mohammad Ahmad Azwan, Abdul Razak Haszuraidah, Ishak
author_facet	Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Shuhairie, Mohammad Ahmad Azwan, Abdul Razak Haszuraidah, Ishak
author_sort	Mohd Falfazli, Mat Jusof
title	Adaptive sine-cosine algorithms for global optimization
title_short	Adaptive sine-cosine algorithms for global optimization
title_full	Adaptive sine-cosine algorithms for global optimization
title_fullStr	Adaptive sine-cosine algorithms for global optimization
title_full_unstemmed	Adaptive sine-cosine algorithms for global optimization
title_sort	adaptive sine-cosine algorithms for global optimization
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23490/ http://umpir.ump.edu.my/id/eprint/23490/1/8.%20Adaptive%20sine-cosine%20algorithms%20for%20global%20optimization.pdf http://umpir.ump.edu.my/id/eprint/23490/2/8.1%20Adaptive%20sine-cosine%20algorithms%20for%20global%20optimization.pdf
first_indexed	2023-09-18T22:35:11Z
last_indexed	2023-09-18T22:35:11Z
_version_	1777416548007280640

Adaptive sine-cosine algorithms for global optimization

Similar Items