Multilevel Optimization: Algorithms And Applications

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Multilevel Optimization: Algorithms And ApplicationsISBN13:9781461379898ISBN10:146137989XAuthor:Migdalas, A. (Editor), Pardalos, Panos M. (Editor), Varbrand, Peter (Editor)Description:Researchers Working With Nonlinear Programming Often Claim The Word Is Non- Linear Indicating That Real Applications Require Nonlinear Modeling The Same Is True For Other Areas Such As Multi-Objective Programming (There Are Always Several Goals In A Real Application), Stochastic Programming (All Data Is Uncer- Tain And Therefore Stochastic Models Should Be Used), And So Forth In This Spirit We Claim: The Word Is Multilevel In Many Decision Processes There Is A Hierarchy Of Decision Makers, And Decisions Are Made At Different Levels In This Hierarchy One Way To Handle Such Hierar- Chies Is To Focus On One Level And Include Other Levels' Behaviors As Assumptions Multilevel Programming Is The Research Area That Focuses On The Whole Hierar- Chy Structure In Terms Of Modeling, The Constraint Domain Associated With A Multilevel Programming Problem Is Implicitly Determined By A Series Of Opti- Mization Problems Which Must Be Solved In A Predetermined Sequence If Only Two Levels Are Considered, We Have One Leader (Associated With The Upper Level) And One Follower (Associated With The Lower Level) Binding:Paperback, PaperbackPublisher:SPRINGER PGPublication Date:2011-09-17Weight:1.27 lbsDimensions:0.84'' H x 9.21'' L x 6.14'' WNumber of Pages:386Language:English

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Location: USA

End Time: 2024-12-03T13:49:54.000Z

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