Feedback Mechanism-driven Mutation Reptile Search Algorithm for Optimizing Interpolation Developable Surfaces

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Publié dans:Journal of Bionic Engineering vol. 21, no. 1 (Jan 2024), p. 527
Auteur principal: Hu, Gang
Autres auteurs: Wang, Jiao, Zhu, Xiaoni, Abbas, Muhammad
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Springer Nature B.V.
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100 1 |a Hu, Gang  |u Xi’an University of Technology, Department of Applied Mathematics, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677); Xi’an University of Technology, School of Mechanical and Precision Instrument Engineering, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677) 
245 1 |a Feedback Mechanism-driven Mutation Reptile Search Algorithm for Optimizing Interpolation Developable Surfaces 
260 |b Springer Nature B.V.  |c Jan 2024 
513 |a Journal Article 
520 3 |a Curvature lines are special and important curves on surfaces. It is of great significance to construct developable surface interpolated on curvature lines in engineering applications. In this paper, the shape optimization of generalized cubic ball developable surface interpolated on the curvature line is studied by using the improved reptile search algorithm. Firstly, based on the curvature line of generalized cubic ball curve with shape adjustable, this paper gives the construction method of SGC-Ball developable surface interpolated on the curve. Secondly, the feedback mechanism, adaptive parameters and mutation strategy are introduced into the reptile search algorithm, and the Feedback mechanism-driven improved reptile search algorithm effectively improves the solving precision. On IEEE congress on evolutionary computation 2014, 2017, 2019 and four engineering design problems, the feedback mechanism-driven improved reptile search algorithm is compared with other representative methods, and the result indicates that the solution performance of the feedback mechanism-driven improved reptile search algorithm is competitive. At last, taking the minimum energy as the evaluation index, the shape optimization model of SGC-Ball interpolation developable surface is established. The developable surface with the minimum energy is achieved with the help of the feedback mechanism-driven improved reptile search algorithm, and the comparison experiment verifies the superiority of the feedback mechanism-driven improved reptile search algorithm for the shape optimization problem. 
653 |a Reptiles 
653 |a Search algorithms 
653 |a Evolutionary computation 
653 |a Curvature 
653 |a Design engineering 
653 |a Ball curves 
653 |a Mutation 
653 |a Shape optimization 
653 |a Feedback 
653 |a Interpolation 
653 |a Optimization models 
653 |a Algorithms 
700 1 |a Wang, Jiao  |u Xi’an University of Technology, School of Mechanical and Precision Instrument Engineering, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677) 
700 1 |a Zhu, Xiaoni  |u Xi’an University of Technology, Department of Applied Mathematics, Xi’an, China (GRID:grid.440722.7) (ISNI:0000 0000 9591 9677) 
700 1 |a Abbas, Muhammad  |u University of Sargodha, Department of Mathematics, Sargodha, Pakistan (GRID:grid.412782.a) (ISNI:0000 0004 0609 4693) 
773 0 |t Journal of Bionic Engineering  |g vol. 21, no. 1 (Jan 2024), p. 527 
786 0 |d ProQuest  |t Health & Medical Collection 
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