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Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz...

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2718736259

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations

About this item

Full title

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Evolution strategy (ES) is one of promising classes of algorithms for black-box continuous optimization. Despite its broad successes in applications, theoretical analysis on the speed of its convergence is limited on convex quadratic functions and their monotonic transformation. In this study, an upper bound and a lower bound of the rate of linear...

Alternative Titles

Full title

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2718736259

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2718736259

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2209.12467

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