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    Rights statement: © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in GI '18 Proceedings of the 4th International Workshop on Genetic Improvement Workshop, 2018 10.1145/3194810.3194813

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Experiments in Genetic Divergence for Emergent Systems

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Publication date2/06/2018
Host publicationGI '18 Proceedings of the 4th International Workshop on Genetic Improvement Workshop
PublisherACM
Pages9-16
Number of pages8
ISBN (Print)9781450357531
Original languageEnglish

Abstract

Emergent software systems take a step towards tackling the ever-increasing complexity of modern software, by having systems self-assemble from a library of building blocks, and then continually re-assemble themselves from alternative building blocks to learn which compositions of behaviour work best in each deployment environment. One of the key challenges in emergent systems is populating the library of building blocks, and particularly a set of alternative implementations of particular building blocks, which form the runtime search space of optimal behaviour. We present initial work in using a fusion of genetic improvement and genetic synthesis to automatically populate a divergent set of implementations of the same functionality, allowing emergent systems to explore new behavioural alternatives without human input. Our early results indicate this approach is able to successfully yield useful divergent implementations of building blocks which are more suited than any existing alternative for particular operating conditions.

Bibliographic note

© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in GI '18 Proceedings of the 4th International Workshop on Genetic Improvement Workshop, 2018 10.1145/3194810.3194813