Probing the axioms of evolutionary algorithm design: Commentary on 'On the mapping of genotype to phenotype in evolutionary algorithms' by Peter A. Whigham, Grant Dick, and James Maclaurin
| Autor: | Lee Altenberg |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Computer science business.industry Locality Evolutionary algorithm 02 engineering and technology Variation (game tree) Modularity Computer Science Applications Theoretical Computer Science 03 medical and health sciences 030104 developmental biology Hardware and Architecture Fisher's geometric model 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Software Evolutionary programming Axiom Counterexample |
| Zdroj: | Genetic Programming and Evolvable Machines. 18:363-367 |
| ISSN: | 1573-7632 1389-2576 |
| DOI: | 10.1007/s10710-017-9290-3 |
| Popis: | Properties such as continuity, locality, and modularity may seem necessary when designing representations and variation operators for evolutionary algorithms, but a closer look at what happens when evolutionary algorithms perform well reveals counterexamples to such schemes. Moreover, these variational properties can themselves evolve in sufficiently complex open-ended systems. These properties of evolutionary algorithms remain very much open questions. |
| Databáze: | OpenAIRE |
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