Nonlinear interval optimization for uncertain problems /

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Bibliographic Details
Author / Creator:Jiang, Chao, author.
Imprint:Singapore : Springer, [2021]
Description:1 online resource (291 pages).
Language:English
Series:Springer tracts in mechanical engineering
Springer tracts in mechanical engineering.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12609446
Hidden Bibliographic Details
Other authors / contributors:Han, Xu, author.
Xie, Huichao, author.
ISBN:9789811585463
9811585466
9811585458
9789811585456
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Translated from Chinese.
Description based upon print version of record.
Summary:This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming theory perspective, it develops an innovative mathematical transformation model to deal with general nonlinear interval uncertain optimization problems, which is able to equivalently convert complex interval uncertain optimization problems to simple deterministic optimization problems. This model is then used as the basis for various interval uncertain optimization algorithms for engineering applications, which address the low efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems associated with multiple optimization objectives, multiple disciplines, and parameter dependence, and establishes the corresponding interval optimization models and solution algorithms. Lastly, it uses the proposed interval uncertain optimization models and methods to deal with practical problems in mechanical engineering and related fields, demonstrating the effectiveness of the models and methods.
Other form:Print version: Jiang, Chao Nonlinear Interval Optimization for Uncertain Problems Singapore : Springer Singapore Pte. Limited,c2021 9789811585456
Standard no.:10.1007/978-981-15-8546-3