Abstract
This paper investigates the evolution of two types of simple Genotype Phenotype Mappings (GPMs): a many-to-one mapping and a one-to-many mapping. Both GPMs are under genetic control. For both types of mappings different Regions Of Maximum Adaptability (ROMAs) are found. These ROMAs are the regions - in a paramterized space of GPMs - evolution leads to. The attraction towards these ROMAs increases as selection pressure increases. Finally, this paper discusses the evolution of pleiotropy and the ROMAs it leads to.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) |
| Publisher | IEEE |
| Pages | 279-285 |
| Number of pages | 7 |
| ISBN (Print) | 9781509046010 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | IEEE Congress on Evolutionary Computation (CEC) - San Sebastián, Spain Duration: 5 Jun 2017 → 8 Jun 2017 https://www.esteco.com/corporate/ieee-congress-evolutionary-computation-cec-2017#:~:text=CEC%202017%20is%20a%20congress,for%20the%20benefit%20of%20humanity. |
Publication series
| Series | IEEE Congress on Evolutionary Computation |
|---|
Conference
| Conference | IEEE Congress on Evolutionary Computation (CEC) |
|---|---|
| Abbreviated title | CEC 2017 |
| Country/Territory | Spain |
| City | San Sebastián |
| Period | 5/06/17 → 8/06/17 |
| Internet address |
Keywords
- PERSPECTIVE