UMP Institutional Repository

Spiral sine-cosine algorithm for global optimization

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

[img]
Preview
Pdf
SPIRAL Sine Cosine Algorithm1.pdf

Download (101kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by SCOPUS
Uncontrolled Keywords: Sine-Cosine algorithm: Spiral dynamic algorithm; Global optimization algorithm
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 27 May 2019 06:41
Last Modified: 26 Aug 2019 03:23
URI: http://umpir.ump.edu.my/id/eprint/25008
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item