Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Graph-based heuristics for recognition of machined features from a 3D solid model
Computer-Aided Design
Feature Extraction from Boundary Models of Three-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Assessment of features technology
Computer-Aided Design
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Recognizing Shape Features in Solid Models
IEEE Computer Graphics and Applications
Geometric Reasoning for Recognition of Three-Dimensional Object Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Reasoning for Recognition of Three-Dimensional Object Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic recognition of machinable features in solid models
Automatic recognition of machinable features in solid models
An algebraic approach to feature interactions
An algebraic approach to feature interactions
A 3D object classifier for discriminating manufacturing processes
Computers and Graphics
Semantic fitting and reconstruction
Journal on Computing and Cultural Heritage (JOCCH)
An artificial intelligence planning approach to manufacturing feature recognition
Computer-Aided Design
Local parameterization of freeform shapes using freeform feature recognition
Computer-Aided Design
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Syntactic recognition, Graph based method, expert systems and knowledge-based approach are the common feature recognition techniques available today. This work discusses a relatively newer concept of introduction of Genetic Algorithm for Features Recognition (GAFR) from large CAD databases, which is significant in view of the growing product complexity across all manufacturing domains. Genetic Algorithm is applied in a random search process in the CAD data using population initialisation; offspring feature creation via crossover, evolution and extinction of the offspring sub-solutions and finally selection of the best alternatives. This method is cheaper than traditional hybrid and heuristics based direct search approaches. Case study is presented with simulation results.