IAGA: A New Method of Automatic Layout for Dimensioning Engineering Drawings

This paper presents an automatic layout method for engineering drawing dimensioning based on an improved adaptive genetic algorithm (IAGA). The key novelty lies in transforming the complex dimensional layout optimization into a combinatorial directed acyclic graph problem enabling efficient evolutionary solving. Comparative analyses on multi-sized test cases validate the superiority of IAGA in dimensioning quality and performance over standard GA and adaptive GA approaches. Additional case studies on practical heat exchanger and vessel diagrams further demonstrate the technique's effectiveness in handling real-world industrial applications. This pioneering dimensional engineering automation solution promises to facilitate precise computer-aided manufacturability with enhanced efficiency.