Research on process route optimization method based on improved hybrid genetic algorithm

Lin Wang; Yueyan Liu; Hao Cheng; Yongjian Zhang; Rui Wang; Zujie Zheng

doi:10.1117/12.3012247

21 December 2023 Research on process route optimization method based on improved hybrid genetic algorithm

Lin Wang, Yueyan Liu, Hao Cheng, Yongjian Zhang, Rui Wang, Zujie Zheng

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700A (2023) https://doi.org/10.1117/12.3012247
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Aiming at the problems of high manual participation and long time-consuming sequencing in the process planning of typical spacecraft parts, a process route optimization method based on improved hybrid genetic algorithm is proposed. By analyzing the relationship between parts' machining features, the machining method of machining features is disassembled into steps and a step forward graph is established, and the initial process route is generated based on the constraints of state change rules. The optimization objective function considering the use cost and replacement cost of processing resources is constructed. Aiming at the problem of process route decision-making, the coding method of adding step sequence information and processing resource information is proposed. In order to ensure that the process route sequence meets the process rule constraints, the OBX crossover operator is used to construct the adaptive mutation operator, and the improved hybrid genetic algorithm is constructed by using the artificial bee colony algorithm for process route optimization. The feasibility of the method is verified by taking a spacecraft cabin part as an example.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lin Wang, Yueyan Liu, Hao Cheng, Yongjian Zhang, Rui Wang, and Zujie Zheng "Research on process route optimization method based on improved hybrid genetic algorithm", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700A (21 December 2023); https://doi.org/10.1117/12.3012247

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