Paper
28 February 2023 Comparison of algorithms based on lightweight frame problems
Jian Zhang, Wei Ran, Xuemei Qi
Author Affiliations +
Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 125962B (2023) https://doi.org/10.1117/12.2671851
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China
Abstract
The weight reduction of the frame longitudinal beam directly affects the weight reduction of the frame. The intelligent algorithm is applied to the lightweight problem of the frame, and aimed to the area of the longitudinal beam section is optimized. The genetic algorithm, simulated annealing algorithm, particle swarm optimization algorithm and ant colony optimization are compared. The static working condition of the optimized frame is analyzed. The results show that all four algorithms can get the solution satisfying the constraint conditions, and the particle swarm optimization algorithm is the fastest, the simulated annealing algorithm is the slowest, and the other two algorithms are moderate. All four algorithms reduced the weight of the frame, the ant colony optimization reduced by 4.1%, and the other three ways reduced by 6.8%.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Zhang, Wei Ran, and Xuemei Qi "Comparison of algorithms based on lightweight frame problems", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 125962B (28 February 2023); https://doi.org/10.1117/12.2671851
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KEYWORDS
Particle swarm optimization

Mathematical optimization

Algorithms

Bending stress

Genetic algorithms

Particles

Design and modelling

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