基于蚁群算法的模具生产过程优化调度研究

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中图分类号：TP087 文献标志码：A

文章编号：1001-4934（2025）04-0076-09

Research on optimization scheduling of mold production processbase onantcolonyalgorithm

YANG Shengfeng1，ZHOU Xiaohong'*，HUANG Siqi'， TAO Zhengping²，WANG Wenrong²，LONG Xi²

（1. GuiZhou Vocational Technology College of Electronics & Information，Kaili 5560oo，Guizhou，China; 2. CET CBig Data Research Institute Co. Ltd.，Guiyang 55O022，Guizhou， China）

Abstract： Mold manufacturing occupies a crucial position in modern manufacturing industries. The efficiency and precision of its design and manufacturing processes directly affect product quality and production cycles. Traditional scheduling methods have limitations in handling complex sequences and resource constraints， resulting in extended production cycles and increased costs. This paper introduces the ant colony optimization （ACO） algorithm as a solution. By setting machine continuous scheduling and processing time as agreed conditions， along with initialization parameters，an optimized scheduling model suitable for the mold design and manufacturing process is constructed. The ACO system's state transition，local update，and global update rules are employed to model the manufacturing process， optimizing job allocation and tool scheduling. Experimental results demonstrate that the ACO algorithm can effectively shorten mold development cycles and improve production efficiency.

Key words： mold manufacturing；ant colony algorithm； mold design and manufacturing; optimal scheduling model;production cycle

0 引言

随着制造业发展和竞争加剧，模具制造调度问题成为学术界和工业界共同难题[1]。（剩余11066字）