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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Swafford, J.M. O'Neill, M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Complex and Adaptive Systems Laboratory, School of Computer Science and Informatics, University College Dublin, Clonskeagh, Dublin 4, Ireland (Swafford, J.M.; O'Neill, M.) |
| Abstract | This work furthers the understanding of modularity in grammar-based genetic programming approaches by analyzing how different grammars may be capable of producing the same phenotypes, but still display differences in performance on the same problems. This is done by creating four grammars with varying levels of modularity and using them with grammatical evolution to evolve floor plan designs. The results of this experimentation show how increases in modularity, brought about by simple modifications in the grammars, and increases in the quality of solutions go hand in hand. It also demonstrates how more modular grammars explore more individuals even while fitness remains the same or changes in only minor increments. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 854242 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424469093 |
| e-ISBN | 9781424469116 |
| DOI | 10.1109/CEC.2010.5586483 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-18 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Grammar Production Floors Genetic programming Educational institutions Evolutionary computation Wrapping |
| Content Type | Text |
| Resource Type | Article |
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