Multi-objective construction machinery group configuration optimization based on improved particle swarm optimization algorithm

Bo Gao; Zhongsheng Yang; Hanming Zhou

doi:10.1117/12.3026362

9 February 2024 Multi-objective construction machinery group configuration optimization based on improved particle swarm optimization algorithm

Bo Gao, Zhongsheng Yang, Hanming Zhou

Author Affiliations +

Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 130730W (2024) https://doi.org/10.1117/12.3026362
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China

Abstract

The construction of earthwork and stonework in the roadbed base is an indispensable part of the highway engineering construction process, and the reasonable allocation of engineering machinery groups has a significant impact on the cost and duration of the roadbed base construction. To solve the optimization problem of highway construction scheduling, a construction machinery group configuration optimization model with the goal of minimum cost and minimum construction period is established. An improved particle swarm algorithm with optimized particle swarm bounding search strategy is proposed and solved. Firstly, a equipment construction model is established. Then, a particle swarm bounding search strategy is constructed based on the Grey Wolf algorithm to dynamically adjust the composition of the particle swarm, improve the initial population quality, and integrate the Grey Wolf algorithm strategy into the particle swarm algorithm to improve the population diversity in the later stage of the algorithm and retain high-quality individuals during the evolution process. Finally, the effectiveness of the improved algorithm is verified by comparing the configuration example of the construction machinery group with the algorithm

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bo Gao, Zhongsheng Yang, and Hanming Zhou "Multi-objective construction machinery group configuration optimization based on improved particle swarm optimization algorithm", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 130730W (9 February 2024); https://doi.org/10.1117/12.3026362

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