Optimization Models

Zhang, G; Lu, J; Gao, Y

Optimization Models

Zhang, G

Lu, J

Gao, Y

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Publication Type:: Journal Article
Citation:: Intelligent Systems Reference Library, 2015, 82 pp. 25 - 46
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Gao, Y	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Intelligent Systems Reference Library, 2015, 82 pp. 25 - 46	en_US
dc.identifier.issn	1868-4394	en_US
dc.identifier.uri	http://hdl.handle.net/10453/35671
dc.description.abstract	© Springer-Verlag Berlin Heidelberg 2015. To model and solve a bi-level or multi-level optimization problem, we have to first understand basic single-level optimization models and related solution methods. This chapter introduces related concepts, models and solution methods of basic single-level optimization including linear programming, non-linear programming, multi-objective programming, goal programming, Stackelberg game theory, and particle swarm optimization. These knowledge will be used in the rest of the book.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0557154
dc.relation.ispartof	Intelligent Systems Reference Library	en_US
dc.relation.isbasedon	10.1007/978-3-662-46059-7_2	en_US
dc.title	Optimization Models	en_US
dc.type	Journal Article
utslib.citation.volume	82	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.declined	1970-01-01T00:00:00.0+1000
pubs.publication-status	Published	en_US
pubs.volume	82	en_US

Abstract:

© Springer-Verlag Berlin Heidelberg 2015. To model and solve a bi-level or multi-level optimization problem, we have to first understand basic single-level optimization models and related solution methods. This chapter introduces related concepts, models and solution methods of basic single-level optimization including linear programming, non-linear programming, multi-objective programming, goal programming, Stackelberg game theory, and particle swarm optimization. These knowledge will be used in the rest of the book.

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http://hdl.handle.net/10453/35671