Mathematically Rigorous Global Optimization and Fuzzy Optimization

Ralph Baker Kearfott ()
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Ralph Baker Kearfott: University of Louisiana at Lafayette

A chapter in Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, 2021, pp 169-194 from Springer

Abstract: Abstract Mathematically rigorous global optimization and fuzzy optimization have different philosophical underpinnings, goals, and applications. However, some of the tools used in implementations are similar or identical. We review, compare and contrast basic ideas and applications behind these areas, referring to some of the work in the very large literature base.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-66515-9_7

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DOI: 10.1007/978-3-030-66515-9_7

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