AI 中文总结
针对工业自动化过程控制系统分层架构设计的复杂组合优化问题，本文提出优化蚁群元启发式算法超参数的混合方法，通过问题形式化、准则定义与数值算例验证，改进了混合算法的性能。
AI 中文摘要
工业中广泛应用的自动化过程控制系统（APCS）采用基于树的分层多级架构，由专用软硬件构建。用预定特性的现成工业组件搭建此类控制系统是带多约束的复杂组合优化问题，本文考虑结合确定性构建算法与蚁群元启发式算法进行设备选择的树状结构构建混合方法，因元启发式算法的有效性依赖其超参数，故提出对超参数进行优化。本文给出通用问题形式化、定义优化准则、描述求解方法并提供多个数值算例。
英文摘要
Automated process control systems, widely used in industry, have a hierarchical multi-level tree-based architecture and are built using specialized hardware and software. Constructing such a control system from off-the-shelf industrial components with predetermined characteristics is a complex combinatorial optimization problem with multiple constraints. A hybrid method for constructing a tree-based structure is considered, combining a deterministic construction algorithm and an ant colony metaheuristic for device selection. The effectiveness of the metaheuristic algorithm depends on its hyperparameters, which are proposed to be optimized. This paper presents a general problem formulation, defines optimization criteria, describes the solution method, and provides several numerical examples.
DOI：10.1109/SCM71573.2026.11625870
