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...

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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:
Online Access: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
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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
collection UMP
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.
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spelling UMPir234902019-01-01T12:38:40Z 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)
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
title 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_short Adaptive sine-cosine algorithms for global optimization
title_sort adaptive sine cosine algorithms for global optimization
topic TK Electrical engineering. Electronics Nuclear engineering
url 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
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