Effects of Several Bioinspired Methods on the Stability of Coevolutionary Complexification

Inden, B ORCID: https://orcid.org/0000-0001-6048-6856 and Jost, J, 2015. Effects of Several Bioinspired Methods on the Stability of Coevolutionary Complexification. In: Proceedings of the 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, 7-10 December 2015. Los Alamitos, CA: IEEE Computer Society, pp. 1094-1101. ISBN 9781479975600

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Abstract

We study conditions for sustained growth of complexity in an abstract model of parasitic coevolution. Previous research has found that complexification is hard to achieve if the evolution of the symbiont population is constrained by the hosts but the evolution of the hosts is unconstrained, or, more generally, if the task difficulty is much higher for the symbionts than for the hosts. Here we study whether three bio inspired methods known from previous research on achieving stability in coevolution (balancing, niching, and reduced resistance) can restore complexification in such situations. We find that reduced resistance, and to a lesser degree niching, are successful if applied together with truncation selection, but not if applied together with fitness proportional selection.

Item Type:	Chapter in book
Creators:	Inden, B. and Jost, J.
Publisher:	IEEE Computer Society
Place of Publication:	Los Alamitos, CA
Date:	December 2015
ISBN:	9781479975600
Identifiers:	Number Type 10.1109/SSCI.2015.157 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	09 Jan 2017 12:54
Last Modified:	09 Jun 2017 14:10
URI:	https://irep.ntu.ac.uk/id/eprint/29611

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