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The advantages of generative grammatical encodings for physical design (2001)
| Content Provider | CiteSeerX |
|---|---|
| Author | Horn, Gregory S. |
| Abstract | Abstract- One of the applications of evolutionary algorithms is the automatic creation of designs. For evolutionary techniques to scale to the complexities necessary for actual engineering problems, it has been argued that generative systems, where the genotype is an algorithm for constructing the final design, should be used as the encoding. We describe a system for creating generative specifications by combining Lindenmayer systems with evolutionary algorithms and apply it to the problem of generating table designs. Designs evolved by our system reach an order of magnitude more parts than previous generative systems. Comparing it against a non-generative encoding we find that the generative system produces designs with higher fitness and is faster than the non-generative system. Finally, we demonstrate the ability of our system to go from design to manufacture by constructing evolved table designs using rapid prototyping equipment. 1 |
| File Format | |
| Journal | Congress on Evolutionary Computation |
| Publisher Date | 2001-01-01 |
| Access Restriction | Open |
| Subject Keyword | Lindenmayer System Generative System Non-generative System Evolutionary Technique Rapid Prototyping Equipment Previous Generative System Table Design Automatic Creation Generative Specification Actual Engineering Problem Final Design Generative Grammatical Encoding Non-generative Encoding |
| Content Type | Text |
| Resource Type | Article |
