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An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Nonconvex Optimization Approach to Quadratic Bilevel Problems

Author : Andrei Orlov

Published in: Learning and Intelligent Optimization

Publisher: Springer International Publishing

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Abstract

This paper addresses one of the classes of bilevel optimization problems in their optimistic statement. The reduction of the bilevel problem to a series of nonconvex mathematical optimization problems, together with the specialized Global Search Theory, is used for developing methods of local and global searches to find optimistic solutions. Illustrative examples show that the approach proposed is prospective and performs well.

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Metadata
Title
A Nonconvex Optimization Approach to Quadratic Bilevel Problems
Author
Andrei Orlov
Copyright Year
2017
Book
Learning and Intelligent Optimization

Print ISBN: 978-3-319-69403-0

Electronic ISBN: 978-3-319-69404-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-69404-7_16

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