Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater
This paper presents an improved version of Levy Flight Distribution (LFD) algorithm. The original LFD is formulated based on the random walk strategy. However, it suffers a premature convergence due to imbalance exploration and exploitation. Consequently, the algorithm produces unsatisfactory perfor...
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2023
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Online Access: | http://umpir.ump.edu.my/id/eprint/38771/1/Adaptive%20levy%20flight%20distribution%20algorithm%20for%20solving%20a%20dynamic.pdf http://umpir.ump.edu.my/id/eprint/38771/2/Adaptive%20levy%20flight%20distribution%20algorithm%20for%20solving%20a%20dynamic%20model%20of%20an%20electric%20heater_ABS.pdf http://umpir.ump.edu.my/id/eprint/38771/ https://doi.org/10.1109/ISCAIE57739.2023.10165009 |
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my.ump.umpir.387712023-11-06T04:40:04Z http://umpir.ump.edu.my/id/eprint/38771/ Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater Ahmad Nor Kasruddin, Nasir Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abd Razak Nor Maniha, Abdul Ghani T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents an improved version of Levy Flight Distribution (LFD) algorithm. The original LFD is formulated based on the random walk strategy. However, it suffers a premature convergence due to imbalance exploration and exploitation. Consequently, the algorithm produces unsatisfactory performance in terms of its final accuracy achievement. As a solution to the problem, an adaptive scheme of search agents step size is incorporated into the original LFD algorithm. Moreover, a mating strategy is also adopted to improve its stochastic nature throughout the search process. The algorithm is applied to optimize a nonlinear dynamic model of an electric water heater. A fuzzy-based Hammerstein structure is adopted to represent the heater model. It comprises a combination of both linear and nonlinear equations so that it can capture the dynamic behavior of the heater satisfactorily. The proposed adaptive LFD algorithm is compared with the original LFD algorithm. The result shows that the proposed algorithm has attained a better accuracy. It also has captured the dynamic behavior of the heater more adequately. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38771/1/Adaptive%20levy%20flight%20distribution%20algorithm%20for%20solving%20a%20dynamic.pdf pdf en http://umpir.ump.edu.my/id/eprint/38771/2/Adaptive%20levy%20flight%20distribution%20algorithm%20for%20solving%20a%20dynamic%20model%20of%20an%20electric%20heater_ABS.pdf Ahmad Nor Kasruddin, Nasir and Mohd Falfazli, Mat Jusof and Mohd Redzuan, Ahmad and Ahmad Azwan, Abd Razak and Nor Maniha, Abdul Ghani (2023) Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater. In: 13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023, 20-21 May 2023 , Penang. pp. 140-144.. ISBN 979-835034731-9 https://doi.org/10.1109/ISCAIE57739.2023.10165009 |
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T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Ahmad Nor Kasruddin, Nasir Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abd Razak Nor Maniha, Abdul Ghani Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
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This paper presents an improved version of Levy Flight Distribution (LFD) algorithm. The original LFD is formulated based on the random walk strategy. However, it suffers a premature convergence due to imbalance exploration and exploitation. Consequently, the algorithm produces unsatisfactory performance in terms of its final accuracy achievement. As a solution to the problem, an adaptive scheme of search agents step size is incorporated into the original LFD algorithm. Moreover, a mating strategy is also adopted to improve its stochastic nature throughout the search process. The algorithm is applied to optimize a nonlinear dynamic model of an electric water heater. A fuzzy-based Hammerstein structure is adopted to represent the heater model. It comprises a combination of both linear and nonlinear equations so that it can capture the dynamic behavior of the heater satisfactorily. The proposed adaptive LFD algorithm is compared with the original LFD algorithm. The result shows that the proposed algorithm has attained a better accuracy. It also has captured the dynamic behavior of the heater more adequately. |
format |
Conference or Workshop Item |
author |
Ahmad Nor Kasruddin, Nasir Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abd Razak Nor Maniha, Abdul Ghani |
author_facet |
Ahmad Nor Kasruddin, Nasir Mohd Falfazli, Mat Jusof Mohd Redzuan, Ahmad Ahmad Azwan, Abd Razak Nor Maniha, Abdul Ghani |
author_sort |
Ahmad Nor Kasruddin, Nasir |
title |
Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
title_short |
Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
title_full |
Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
title_fullStr |
Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
title_full_unstemmed |
Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
title_sort |
adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater |
publishDate |
2023 |
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http://umpir.ump.edu.my/id/eprint/38771/1/Adaptive%20levy%20flight%20distribution%20algorithm%20for%20solving%20a%20dynamic.pdf http://umpir.ump.edu.my/id/eprint/38771/2/Adaptive%20levy%20flight%20distribution%20algorithm%20for%20solving%20a%20dynamic%20model%20of%20an%20electric%20heater_ABS.pdf http://umpir.ump.edu.my/id/eprint/38771/ https://doi.org/10.1109/ISCAIE57739.2023.10165009 |
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