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Genetic Algorithm for Developing Program Using Backus Naur Form (GAPBNF) | ||
| Engineering and Technology Journal | ||
| Volume 24, Issue 6, June 2005, Pages 790-800 PDF (1.33 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.24.6.14 | ||
| Author | ||
| Rasha Shaker Abdul Wahab | ||
| Dept. of Computer Science, University of Technology. | ||
| Abstract | ||
| Abstract GAPBNF , genotype - phenotype genetic algorithms , is presented here as a technique for the creation of computer program . This technique uses new representation to generate the program which can be executed using any language . In this case the chromosome ( genotype ) is a list of integer representing production in syntax , which is used to generate the program ( phenotype ) . In order to explain the effectiveness of using this type of representation , GAPBNF is implemented for solving symbolic regression problem . The results show that GAPBNF is an efficient and promising method that can be used to generate any program in any language . | ||
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