Spiral sine-cosine algorithm for global optimization

This paper presents a Hybrid Spiral and Sine-Cosine Algorithm (SSCA). Sine-Cosine algorithm (SCA) is a random-based optimization that utilizes an elitism approach and adaptive step size in its strategy. The step size is linearly varied and thus has caused the algorithm to produce steady convergence...

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Main Authors:	Nurul Amira, Mhd Rizal, Mohd Falfazli, Mat Jusof, Ahmad Azwan, Abdul Razak, Shuhairie, Mohammad, Ahmad Nor Kasruddin, Nasir
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25008/ http://umpir.ump.edu.my/id/eprint/25008/ http://umpir.ump.edu.my/id/eprint/25008/1/SPIRAL%20Sine%20Cosine%20Algorithm1.pdf

id	ump-25008
recordtype	eprints
spelling	ump-250082019-08-26T03:23:08Z http://umpir.ump.edu.my/id/eprint/25008/ Spiral sine-cosine algorithm for global optimization Nurul Amira, Mhd Rizal Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir TK Electrical engineering. Electronics Nuclear engineering This paper presents a Hybrid Spiral and Sine-Cosine Algorithm (SSCA). Sine-Cosine algorithm (SCA) is a random-based optimization that utilizes an elitism approach and adaptive step size in its strategy. The step size is linearly varied and thus has caused the algorithm to produce steady convergence trend towards an optimal solution. It also has resulted the algorithm unable to achieve the true optimal solution. On the other hand, Spiral Dynamic Algorithm (SDA) is a deterministic-based algorithm that offers a nonlinear trend of agents step size in its operation. Therefore, an adoption of spiral equation from SDA into SCA is proposed as a solution to increase SCA convergence speed and its corresponding accuracy. The proposed algorithm is tested with a set of benchmark functions. Its accuracy and convergence trend performances are measured and recorded. A nonparametric Wilcoxon Sign Rank test is applied to statistically analyze the significance improvement of the SSCA accuracy in comparison to original SCA. Finding from the accuracy analysis indicates that the proposed SSCA algorithm significantly outperformed the original SCA. Moreover, from a graphical result, it shows that the SSCA has faster speed compared to another contestant algorithm. IEEE 2019-04 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25008/1/SPIRAL%20Sine%20Cosine%20Algorithm1.pdf Nurul Amira, Mhd Rizal and Mohd Falfazli, Mat Jusof and Ahmad Azwan, Abdul Razak and Shuhairie, Mohammad and Ahmad Nor Kasruddin, Nasir (2019) Spiral sine-cosine algorithm for global optimization. In: IEEE Symposium On Computer Applications And Industrial Electronics (ISCAIE 2019), 27-28 April 2019 , Kota Kinabalu, Sabah, Malaysia. pp. 1-5.. ISBN 978-153868546-4 https://doi.org/10.1109/ISCAIE.2019.8743662
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 Nurul Amira, Mhd Rizal Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir Spiral sine-cosine algorithm for global optimization
description	This paper presents a Hybrid Spiral and Sine-Cosine Algorithm (SSCA). Sine-Cosine algorithm (SCA) is a random-based optimization that utilizes an elitism approach and adaptive step size in its strategy. The step size is linearly varied and thus has caused the algorithm to produce steady convergence trend towards an optimal solution. It also has resulted the algorithm unable to achieve the true optimal solution. On the other hand, Spiral Dynamic Algorithm (SDA) is a deterministic-based algorithm that offers a nonlinear trend of agents step size in its operation. Therefore, an adoption of spiral equation from SDA into SCA is proposed as a solution to increase SCA convergence speed and its corresponding accuracy. The proposed algorithm is tested with a set of benchmark functions. Its accuracy and convergence trend performances are measured and recorded. A nonparametric Wilcoxon Sign Rank test is applied to statistically analyze the significance improvement of the SSCA accuracy in comparison to original SCA. Finding from the accuracy analysis indicates that the proposed SSCA algorithm significantly outperformed the original SCA. Moreover, from a graphical result, it shows that the SSCA has faster speed compared to another contestant algorithm.
format	Conference or Workshop Item
author	Nurul Amira, Mhd Rizal Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir
author_facet	Nurul Amira, Mhd Rizal Mohd Falfazli, Mat Jusof Ahmad Azwan, Abdul Razak Shuhairie, Mohammad Ahmad Nor Kasruddin, Nasir
author_sort	Nurul Amira, Mhd Rizal
title	Spiral sine-cosine algorithm for global optimization
title_short	Spiral sine-cosine algorithm for global optimization
title_full	Spiral sine-cosine algorithm for global optimization
title_fullStr	Spiral sine-cosine algorithm for global optimization
title_full_unstemmed	Spiral sine-cosine algorithm for global optimization
title_sort	spiral sine-cosine algorithm for global optimization
publisher	IEEE
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25008/ http://umpir.ump.edu.my/id/eprint/25008/ http://umpir.ump.edu.my/id/eprint/25008/1/SPIRAL%20Sine%20Cosine%20Algorithm1.pdf
first_indexed	2023-09-18T22:38:10Z
last_indexed	2023-09-18T22:38:10Z
_version_	1777416736304267264

Spiral sine-cosine algorithm for global optimization

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