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Neutral Networks in an Evolutionary Robotics Search Space

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posted on 2023-06-07, 21:25 authored by T Smith, Phil HusbandsPhil Husbands, M O'Shea
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 Society

Pages

8.0

Presentation Type

  • paper

Event name

Proceedings IEEE Congress on Evolutionary Computation 2001

Event location

Seoul, Korea

Event type

conference

ISBN

9780780366572

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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