Skip to main content

Research Repository

Advanced Search

On Pros and Cons of Evolving Topologies with Novelty Search

Le Goff, L�ni K.; Hart, Emma; Coninx, Alexandre; Doncieux, St�phane


Alexandre Coninx

St�phane Doncieux


Novelty search was proposed as a means of circumventing deception and providing selective pressure towards novel behaviours to provide a path towards open-ended evolution. Initial implementations relied on neuro-evolution approaches which increased network complexity over time. However, although many studies have reported impressive results, it is still not clear whether the benefits of evolving topologies are outweighed by the overall complexity of the approach. Given that novelty search can also be combined with evolutionary methods that utilise fixed topologies, we undertake a systematic comparison of evolving topologies, using two types of fixed topology networks in conjunction with novelty search on two test-beds. We show that evolving topologies do not systematically help, and discuss the practical consequences of these results and the research perspectives opened up.

Presentation Conference Type Conference Paper (Published)
Conference Name ALIFE 2020: The 2020 Conference on Artificial Life
Start Date Jul 13, 2020
End Date Jul 18, 2020
Acceptance Date Jun 1, 2020
Online Publication Date Jul 14, 2020
Publication Date 2020-07
Deposit Date Jul 15, 2020
Publicly Available Date Jul 15, 2020
Publisher MIT Press
Pages 423-431
Book Title ALIFE 2020: The 2020 Conference on Artificial Life
Public URL


You might also like

Downloadable Citations