Efficient New Approaches for Data-Driven Global Optimization, with Applications in Computer-Aided De...

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" Efficient New Approaches for Data-Driven Global Optimization, with Applications in Computer-Aided Design "
Alimo, Shahrouz Ryan Bewley, Thomas R

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	906129
Doc. No	:	TL4wp671cq
Main Entry	:	Alimo, Shahrouz Ryan
Title & Author	:	Efficient New Approaches for Data-Driven Global Optimization, with Applications in Computer-Aided Design\ Alimo, Shahrouz RyanBewley, Thomas R
College	:	UC San Diego
Date	:	2017
student score	:	2017
Abstract	:	Alongside derivative-based methods, which scale better to higher-dimensional problems, derivative-free methods play an essential role in the optimization of many practical engineering systems, especially those in which function evaluations are determined by statistical averaging, and those for which the function of interest is nonconvex in the adjustable parameters.This work focuses on the development of a new family of surrogate-based derivative-free optimization schemes, namely
Added Entry	:	Bewley, Thomas R
Added Entry	:	UC San Diego