NDLI: Engineering design applications of surrogate-assisted optimization techniques

Content Provider	Springer Nature Link
Author	Sóbester, András Forrester, Alexander I. J. Toal, David J. J. Tresidder, Es Tucker, Simon
Copyright Year	2012
Abstract	The construction of models aimed at learning the behaviour of a system whose responses to inputs are expensive to measure is a branch of statistical science that has been around for a very long time. Geostatistics has pioneered a drive over the last half century towards a better understanding of the accuracy of such ‘surrogate’ models of the expensive function. Of particular interest to us here are some of the even more recent advances related to exploiting such formulations in an optimization context. While the classic goal of the modelling process has been to achieve a uniform prediction accuracy across the domain, an economical optimization process may aim to bias the distribution of the learning budget towards promising basins of attraction. This can only happen, of course, at the expense of the global exploration of the space and thus finding the best balance may be viewed as an optimization problem in itself. We examine here a selection of the state-of-the-art solutions to this type of balancing exercise through the prism of several simple, illustrative problems, followed by two ‘real world’ applications: the design of a regional airliner wing and the multi-objective search for a low environmental impact house.
Starting Page	243
Ending Page	265
Page Count	23
File Format	PDF
ISSN	13894420
Journal	Optimization and Engineering
Volume Number	15
Issue Number	1
e-ISSN	15732924
Language	English
Publisher	Springer US
Publisher Date	2012-09-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Surrogate modeling Optimization Sampling plans Expected improvement Multi-objective optimization Engineering Systems Theory, Control Environmental Management Agriculture Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Software Civil and Structural Engineering Control and Optimization Mechanical Engineering Aerospace Engineering Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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