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A Curve Approximation Approach Using Bio-inspired Polar Coordinate Bald Eagle Search Algorithm

Authors :
Yunhui Zhang
Yongquan Zhou
Guo Zhou
Qifang Luo
Binwen Zhu
Source :
International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-25 (2022)
Publication Year :
2022
Publisher :
Springer, 2022.

Abstract

Abstract In this paper, a curve approximation approach using bio-inspired polar coordinate bald eagle search algorithm (PBES) is proposed. PBES algorithm is inspired by the spiral mechanism of bald eagle during predation. By introducing polar coordinate, the spiral predation process of the bald eagle will become more intuitive, which is more conducive for the algorithm to polar coordinate optimization problems. The initialization stage of PBES algorithm is modified to make the distribution of initialized individuals more uniform and some parameters are introduced to strengthen the exploration and exploitation capabilities of algorithm. The performance of the PBES algorithm is tested in three aspects: polar coordinate transcendental equation, curve approximation and robotic manipulator. The experimental results show that the PBES algorithm is superior to the well-known metaheuristic algorithms as it is effectively applicable for curve approximation problem.

Details

Language :
English
ISSN :
18756883
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
International Journal of Computational Intelligence Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.91b97a0a8554435ba7169351b7bae442
Document Type :
article
Full Text :
https://doi.org/10.1007/s44196-022-00084-7