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Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system

This paper presents an improved version of Manta Ray Foraging Optimization (MRFO). MRFO is relatively a single objective optimization algorithm. It was inspired from the behavior of a cartilaginous fish called Manta Ray. Manta Ray applies three strategies in searching foods which are chain, cyclone...

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Main Authors: Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nurul Amira, Mhd Rizal, Nor Maniha, Abd Ghani, Mohd Falfazli, Mat Jusof, Mohd Ashraf, Ahmad
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39652/1/Quasi%20Oppositional%E2%80%94Manta%20Ray%20Foraging%20Optimization%20and%20Its%20Application.pdf
http://umpir.ump.edu.my/id/eprint/39652/2/Quasi%20oppositional%E2%80%94Manta%20ray%20foraging%20optimization%20and%20its%20application%20to%20pid%20control%20of%20a%20pendulum%20system_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39652/
https://doi.org/10.1007/978-981-16-2406-3_69
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spelling my.ump.umpir.396522023-12-14T02:07:59Z http://umpir.ump.edu.my/id/eprint/39652/ Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system Ahmad Azwan, Abdul Razak Ahmad Nor Kasruddin, Nasir Nurul Amira, Mhd Rizal Nor Maniha, Abd Ghani Mohd Falfazli, Mat Jusof Mohd Ashraf, Ahmad T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents an improved version of Manta Ray Foraging Optimization (MRFO). MRFO is relatively a single objective optimization algorithm. It was inspired from the behavior of a cartilaginous fish called Manta Ray. Manta Ray applies three strategies in searching foods which are chain, cyclone and somersault foraging. From the study, MRFO is a relatively new developed algorithm and has low convergence rate. However, MRFO has potential to be improved in that aspect. In the meanwhile, Opposition-based Learning (OBL) is a well-known technique in increasing the convergence rate. Therefore, a type of OBL namely Quasi Oppositional-based Learning will be adopted into MRFO in order to increase the possibility of finding the solution by considering the opposite individual location of fitness. This version of MRFO is called as Oppositional-based MRFO (OMRFO). Further, OMRFO was performed on several benchmark function. A statistical non-parametric Wilcoxon Test was conducted to analyze the accuracy of MRFO and OMRFO. Furthermore, the proposed algorithm was applied to an inverted pendulum system. Result from shows that performance of OMRFO is significantly outperformed MRFO after tested in the benchmark functions. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39652/1/Quasi%20Oppositional%E2%80%94Manta%20Ray%20Foraging%20Optimization%20and%20Its%20Application.pdf pdf en http://umpir.ump.edu.my/id/eprint/39652/2/Quasi%20oppositional%E2%80%94Manta%20ray%20foraging%20optimization%20and%20its%20application%20to%20pid%20control%20of%20a%20pendulum%20system_ABS.pdf Ahmad Azwan, Abdul Razak and Ahmad Nor Kasruddin, Nasir and Nurul Amira, Mhd Rizal and Nor Maniha, Abd Ghani and Mohd Falfazli, Mat Jusof and Mohd Ashraf, Ahmad (2022) Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system. In: Lecture Notes in Electrical Engineering; 12th National Technical Seminar on Unmanned System Technology, NUSYS 2020 , 24-25 November 2020 , Virtual, Online. 923- 935., 770 (266059). ISSN 1876-1100 ISBN 978-981162405-6 https://doi.org/10.1007/978-981-16-2406-3_69
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad Azwan, Abdul Razak
Ahmad Nor Kasruddin, Nasir
Nurul Amira, Mhd Rizal
Nor Maniha, Abd Ghani
Mohd Falfazli, Mat Jusof
Mohd Ashraf, Ahmad
Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
description This paper presents an improved version of Manta Ray Foraging Optimization (MRFO). MRFO is relatively a single objective optimization algorithm. It was inspired from the behavior of a cartilaginous fish called Manta Ray. Manta Ray applies three strategies in searching foods which are chain, cyclone and somersault foraging. From the study, MRFO is a relatively new developed algorithm and has low convergence rate. However, MRFO has potential to be improved in that aspect. In the meanwhile, Opposition-based Learning (OBL) is a well-known technique in increasing the convergence rate. Therefore, a type of OBL namely Quasi Oppositional-based Learning will be adopted into MRFO in order to increase the possibility of finding the solution by considering the opposite individual location of fitness. This version of MRFO is called as Oppositional-based MRFO (OMRFO). Further, OMRFO was performed on several benchmark function. A statistical non-parametric Wilcoxon Test was conducted to analyze the accuracy of MRFO and OMRFO. Furthermore, the proposed algorithm was applied to an inverted pendulum system. Result from shows that performance of OMRFO is significantly outperformed MRFO after tested in the benchmark functions.
format Conference or Workshop Item
author Ahmad Azwan, Abdul Razak
Ahmad Nor Kasruddin, Nasir
Nurul Amira, Mhd Rizal
Nor Maniha, Abd Ghani
Mohd Falfazli, Mat Jusof
Mohd Ashraf, Ahmad
author_facet Ahmad Azwan, Abdul Razak
Ahmad Nor Kasruddin, Nasir
Nurul Amira, Mhd Rizal
Nor Maniha, Abd Ghani
Mohd Falfazli, Mat Jusof
Mohd Ashraf, Ahmad
author_sort Ahmad Azwan, Abdul Razak
title Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
title_short Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
title_full Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
title_fullStr Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
title_full_unstemmed Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
title_sort quasi oppositional—manta ray foraging optimization and its application to pid control of a pendulum system
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39652/1/Quasi%20Oppositional%E2%80%94Manta%20Ray%20Foraging%20Optimization%20and%20Its%20Application.pdf
http://umpir.ump.edu.my/id/eprint/39652/2/Quasi%20oppositional%E2%80%94Manta%20ray%20foraging%20optimization%20and%20its%20application%20to%20pid%20control%20of%20a%20pendulum%20system_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39652/
https://doi.org/10.1007/978-981-16-2406-3_69
_version_ 1822923987807633408
score 13.232414

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