Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems
The reptile search algorithm is an effective optimization method based on the natural laws of the biological world. By restoring and simulating the hunting process of reptiles, good optimization results can be achieved. However, due to the limitations of natural laws, it is easy to fall into local o...
Published in: | Biomimetics |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2023
|
Subjects: | |
Online Access: | https://doi.org/10.3390/biomimetics8030305 https://doaj.org/article/eb1469cc50e54aa6b7679e4422bf3d56 |
id |
ftdoajarticles:oai:doaj.org/article:eb1469cc50e54aa6b7679e4422bf3d56 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:eb1469cc50e54aa6b7679e4422bf3d56 2023-08-20T04:08:44+02:00 Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems Liguo Yao Guanghui Li Panliang Yuan Jun Yang Dongbin Tian Taihua Zhang 2023-07-01T00:00:00Z https://doi.org/10.3390/biomimetics8030305 https://doaj.org/article/eb1469cc50e54aa6b7679e4422bf3d56 EN eng MDPI AG https://www.mdpi.com/2313-7673/8/3/305 https://doaj.org/toc/2313-7673 doi:10.3390/biomimetics8030305 2313-7673 https://doaj.org/article/eb1469cc50e54aa6b7679e4422bf3d56 Biomimetics, Vol 8, Iss 305, p 305 (2023) reptile search algorithm engineering optimization design northern goshawk optimization artificial vulture optimization algorithm Technology T article 2023 ftdoajarticles https://doi.org/10.3390/biomimetics8030305 2023-07-30T00:36:14Z The reptile search algorithm is an effective optimization method based on the natural laws of the biological world. By restoring and simulating the hunting process of reptiles, good optimization results can be achieved. However, due to the limitations of natural laws, it is easy to fall into local optima during the exploration phase. Inspired by the different search fields of biological organisms with varying flight heights, this paper proposes a reptile search algorithm considering different flight heights. In the exploration phase, introducing the different flight altitude abilities of two animals, the northern goshawk and the African vulture, enables reptiles to have better search horizons, improve their global search ability, and reduce the probability of falling into local optima during the exploration phase. A novel dynamic factor ( DF ) is proposed in the exploitation phase to improve the algorithm’s convergence speed and optimization accuracy. To verify the effectiveness of the proposed algorithm, the test results were compared with ten state-of-the-art (SOTA) algorithms on thirty-three famous test functions. The experimental results show that the proposed algorithm has good performance. In addition, the proposed algorithm and ten SOTA algorithms were applied to three micromachine practical engineering problems, and the experimental results show that the proposed algorithm has good problem-solving ability. Article in Journal/Newspaper Northern Goshawk Directory of Open Access Journals: DOAJ Articles Biomimetics 8 3 305 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
reptile search algorithm engineering optimization design northern goshawk optimization artificial vulture optimization algorithm Technology T |
spellingShingle |
reptile search algorithm engineering optimization design northern goshawk optimization artificial vulture optimization algorithm Technology T Liguo Yao Guanghui Li Panliang Yuan Jun Yang Dongbin Tian Taihua Zhang Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems |
topic_facet |
reptile search algorithm engineering optimization design northern goshawk optimization artificial vulture optimization algorithm Technology T |
description |
The reptile search algorithm is an effective optimization method based on the natural laws of the biological world. By restoring and simulating the hunting process of reptiles, good optimization results can be achieved. However, due to the limitations of natural laws, it is easy to fall into local optima during the exploration phase. Inspired by the different search fields of biological organisms with varying flight heights, this paper proposes a reptile search algorithm considering different flight heights. In the exploration phase, introducing the different flight altitude abilities of two animals, the northern goshawk and the African vulture, enables reptiles to have better search horizons, improve their global search ability, and reduce the probability of falling into local optima during the exploration phase. A novel dynamic factor ( DF ) is proposed in the exploitation phase to improve the algorithm’s convergence speed and optimization accuracy. To verify the effectiveness of the proposed algorithm, the test results were compared with ten state-of-the-art (SOTA) algorithms on thirty-three famous test functions. The experimental results show that the proposed algorithm has good performance. In addition, the proposed algorithm and ten SOTA algorithms were applied to three micromachine practical engineering problems, and the experimental results show that the proposed algorithm has good problem-solving ability. |
format |
Article in Journal/Newspaper |
author |
Liguo Yao Guanghui Li Panliang Yuan Jun Yang Dongbin Tian Taihua Zhang |
author_facet |
Liguo Yao Guanghui Li Panliang Yuan Jun Yang Dongbin Tian Taihua Zhang |
author_sort |
Liguo Yao |
title |
Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems |
title_short |
Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems |
title_full |
Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems |
title_fullStr |
Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems |
title_full_unstemmed |
Reptile Search Algorithm Considering Different Flight Heights to Solve Engineering Optimization Design Problems |
title_sort |
reptile search algorithm considering different flight heights to solve engineering optimization design problems |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/biomimetics8030305 https://doaj.org/article/eb1469cc50e54aa6b7679e4422bf3d56 |
genre |
Northern Goshawk |
genre_facet |
Northern Goshawk |
op_source |
Biomimetics, Vol 8, Iss 305, p 305 (2023) |
op_relation |
https://www.mdpi.com/2313-7673/8/3/305 https://doaj.org/toc/2313-7673 doi:10.3390/biomimetics8030305 2313-7673 https://doaj.org/article/eb1469cc50e54aa6b7679e4422bf3d56 |
op_doi |
https://doi.org/10.3390/biomimetics8030305 |
container_title |
Biomimetics |
container_volume |
8 |
container_issue |
3 |
container_start_page |
305 |
_version_ |
1774721199279964160 |