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https://www.um.edu.mt/library/oar/handle/123456789/96235| Title: | A study of direct and indirect encoding in phenotype-genotype relationships |
| Authors: | Meli, Clyde Nezval, Vitezslav Kominkova Oplatkova, Zuzana Spiteri Staines, Anthony Buttigieg, Victor |
| Keywords: | Computer networks Genetic algorithms Bioinformatics Phenotype Evolutionary computation Computational biology Neural networks (Computer science) |
| Issue Date: | 2021-06 |
| Publisher: | Springer |
| Citation: | Meli, C., Nezval, V., Oplatkova, Z. K., Buttigieg, V., & Staines, A. S. (2021). A study of direct and indirect encoding in phenotype-genotype relationships. International Conference on Artificial Intelligence and Soft Computing, Online. 290-301. |
| Abstract: | This paper examines phenotype and genotype mappings that are bio- logically inspired. These types of coding are used in evolutionary computation. Direct and indirect encoding are studied. The determination of genotype and phe- notype relationships and the connection to genetic algorithms, evolutionary programming and biology are examined in the light of newer advances. The NEAT and HyperNEAT algorithms are applied to the 2D Walker[41] problem of an agent learning how to walk. Results and findings are discussed, and conclusions are given. Indirect coding did not improve the situation. This paper shows that indirect coding is not useful in every situation. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/96235 |
| Appears in Collections: | Scholarly Works - FacICTCIS |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| A_study_of_direct_and_indirect_encoding_in_phenotype-genotype_relationships(2021).pdf Restricted Access | 370.45 kB | Adobe PDF | View/Open Request a copy |
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