Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function
Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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A surrogate function is often employed to reduce the number of objective function evaluations for optimization. However, the effect of using a surrogate model in evolutionary approaches has not been theoretically investigated. This paper theoretically analyzes the information-geometric optimization framework using a surrogate function. The value of...
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Full title
Monotone Improvement of Information-Geometric Optimization Algorithms with a Surrogate Function
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TN_cdi_proquest_journals_2647911191
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2647911191
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2204.02638
