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Neutral networks and Evolvability with a Complex Genotype-Phenotype Mapping

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posted on 2023-06-08, 04:57 authored by Tom Smith, Phil HusbandsPhil Husbands, Michael O'Shea
In this paper, we investigate a neutral epoch during an optimisation run with complex genotype-to-fitness mapping. The behaviour of the search process during neutral epochs is of importance for evolutionary robotics and other artificial-life approaches that evolve problem solutions; recent work has argued that evolvability may change during these epochs. We investigate the distribution of offspring fitnesses from the best individuals of each generation in a population-based genetic algorithm, and see no trends towards higher probabilities of producing higher fitness offspring, and no trends towards higher probabilities of not producing lower fitness offspring. A second experiment in which populations from across the neutral epoch are used as initial populations for the genetic algorithm, shows no difference between the populations in the number of generations required to produce high fitness. We conclude that there is no evidence for change in evolvability during the neutral epoch in this optimisation run; the population is not doing anything useful during this period.

History

Publication status

  • Published

Publisher

Springer

Volume

LNAI 2

Pages

10.0

Presentation Type

  • paper

Event name

Advances in artificial life : 6th European Conference, ECAL 2001

Event location

Prague, Czech Republic

Event type

conference

ISBN

9783540425670

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Editors

P Sosik, J Kelemen

Legacy Posted Date

2012-02-06

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