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Neutral Networks in an Evolutionary Robotics Search Space
Recent work has argued for the importance of non-adaptive neutral evolution in optimisation over difficult search landscapes. We show that the search process underlying a difficult evolutionary robotics problem does indeed show phases of neutral evolution. The noise in evaluated fitness of a single genotype is shown to be able to account for the variance in fitness across a long period of the evolutionary run. We further show that the population moves significantly in genotype space during this neutral phase, possibly increasing in divergence. Finally, we investigate the probabilities of mutating to a higher fitness, above the neutral plateau, and find no evidence for a significant upward trend in these probabilities before the crucial mutations actually occurred
History
Publication status
- Published
Publisher
IEEE Computer SocietyExternal DOI
Pages
8.0Presentation Type
- paper
Event name
Proceedings IEEE Congress on Evolutionary Computation 2001Event location
Seoul, KoreaEvent type
conferenceISBN
9780780366572Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes