Surface Optimisation within the CVD/CAM Environment using Genetic Algorithms

摘要

The design of surfaces often involves multiple criteria, which are governed by a number of geometry constraints. These constraints satisfy certain demands relating to curvature, and make the optimisation of surfaces quiet complex. A flexible approach to design optimisation is essential to handle the diverse criteria and constraints. The paper presents a framework for flexible surface optimisation within a CAD/CAM environment using the robust evolutionary computing technique of Genetic Algorithms (GAs). Particular needs for optimisation in a CAD/CAM environment are discussed with relation to current state of the art research and practive in surface optimisation. A simple GA is integrated in an existing CATIA CAD/CAM system, to provide a foundation for the flexible optimisation of freeform curves and surfaces. The paper presents some initial results on surface optimisation. Directions for future research are also identified.