Modularity in Biological Evolution and Evolutionary Computation
| Autor: | Anton V. Eremeev, Alexander V. Spirov |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
0301 basic medicine Modularity (networks) Theoretical computer science Ecology (disciplines) Population genetics General Medicine Biological evolution Biology 010603 evolutionary biology 01 natural sciences Field (computer science) Evolutionary computation 03 medical and health sciences 030104 developmental biology Development (topology) Adaptation (computer science) |
| Zdroj: | Biology Bulletin Reviews. 10:308-323 |
| ISSN: | 2079-0872 2079-0864 |
| DOI: | 10.1134/s2079086420040076 |
| Popis: | The basic principles of selectionism were transferred in a simplified form from population genetics to the field of evolutionary computation in order to solve applied problems of optimization and adaptation. Considerable practical experience has been gained for the almost half a century of development in this field of computer science, and interesting theoretical results have been obtained. One of the main properties of biological systems is modularity, which manifests itself at all levels of their organization, starting with molecular genetics and ending with entire organisms and their communities. In this survey, the phenomena and patterns associated with modularity in genetics and evolutionary computation are compared. The similarities and differences in the results from these areas of research are analyzed from the point of view of modularity, and the possibilities for sharing knowledge between them are discussed. |
| Databáze: | OpenAIRE |
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