Covantes Osuna, E. and Sudholt, D. orcid.org/0000-0001-6020-1646 (2019) On the Runtime Analysis of the Clearing Diversity-Preserving Mechanism. Evolutionary Computation, 27 (3). pp. 403-433. ISSN 1063-6560
Abstract
Clearing is a niching method inspired by the principle of assigning the available resources among a niche to a single individual. The clearing procedure supplies these resources only to the best individual of each niche: the winner. So far, its analysis has been focused on experimental approaches that have shown that clearing is a powerful diversity-preserving mechanism. Using rigorous runtime analysis to explain how and why it is a powerful method, we prove that a mutation-based evolutionary algorithm with a large enough population size, and a phenotypic distance function always succeeds in optimising all functions of unitation for small niches in polynomial time, while a genotypic distance function requires exponential time. Finally, we prove that with phenotypic and genotypic distances clearing is able to find both optima for Twomax and several general classes of bimodal functions in polynomial expected time. We use empirical analysis to highlight some of the characteristics that makes it a useful mechanism and to support the theoretical results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Massachusetts Institute of Technology. This is an author produced version of a paper subsequently published in Evolutionary Computation. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 SAGE - 138086 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 May 2018 14:33 |
Last Modified: | 26 Nov 2020 10:18 |
Status: | Published |
Publisher: | Massachusetts Institute of Technology Press (MIT Press) |
Refereed: | Yes |
Identification Number: | 10.1162/evco_a_00225 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130670 |