Optimal Feature-based CAD Data Exchange Using Cellular Genetic Algorithm

Features are important to maintain geometric and non-geometric relations across product models. The generic feature model provides flexibility and finer-level of granularity for an integrated feature-based modelling framework between CAD/CAM applications. Unfortunately, often during data translation some useful geometric and non-geometric information such as features and their associated semantics are stripped off. In this paper, we introduce a new approach of feature-based CAD (computeraided design) data exchange using cellular genetic algorithm (cGA). The cGa feature-based data exchange is translating a product model on cellular representation and reconstructing based on constructive solid geometry (CSG) technique. This approach enables the dynamic transmission and embedment of cellular features into a solid model of a part in both design and manufacturing domains. The cGA algorithm applies six operators, i.e., recombination, crossover, swap, mutation, insertion, and deletion. Therefore, features and constraints can be maintained and propagated systematically during the data exchange.