0
Your cart

Your cart is empty

Books > Science & Mathematics > Mathematics > Optimization

Buy Now

Non-Convex Multi-Objective Optimization (Hardcover, 1st ed. 2017) Loot Price: R3,222
Discovery Miles 32 220
Non-Convex Multi-Objective Optimization (Hardcover, 1st ed. 2017): Panos M. Pardalos, Antanas Zilinskas, Julius Zilinskas

Non-Convex Multi-Objective Optimization (Hardcover, 1st ed. 2017)

Panos M. Pardalos, Antanas Zilinskas, Julius Zilinskas

Series: Springer Optimization and Its Applications, 123

 (sign in to rate)
Loot Price R3,222 Discovery Miles 32 220 | Repayment Terms: R302 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (for Lipschitz functions and bi-objective problems), statistical models based algorithms, and probabilistic branch and bound approach. Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to aide researchers and graduate students in mathematics, computer science, engineering, economics, and business management.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Optimization and Its Applications, 123
Release date: August 2017
First published: 2017
Authors: Panos M. Pardalos • Antanas Zilinskas • Julius Zilinskas
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 192
Edition: 1st ed. 2017
ISBN-13: 978-3-319-61005-4
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Promotions
LSN: 3-319-61005-8
Barcode: 9783319610054

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

BI Statistical Methods - Volume I…
Peter Walley Hardcover R2,887 Discovery Miles 28 870
Continental Adventures
Charlotte Anne Eaton Paperback R615 Discovery Miles 6 150
bundle available
Continental Adventures
Charlotte Anne Eaton Paperback R575 Discovery Miles 5 750
bundle available
Sparse Polynomial Optimization: Theory…
Victor Magron, Jie Wang Hardcover R2,425 Discovery Miles 24 250
Comparing Fairness - Relative Criteria…
Roger A. McCain Hardcover R3,091 Discovery Miles 30 910
The History and Allure of Interactive…
Mark Kretzschmar, Sara Raffel Hardcover R3,260 Discovery Miles 32 600
Handbook of Experimental Game Theory
C. M. Capra, Rachel T. A. Croson, … Hardcover R6,870 Discovery Miles 68 700
Motion Control: Multi-faceted Movement…
Yoram Baram Hardcover R3,525 Discovery Miles 35 250
Learn Game Theory
Albert Rutherford Hardcover R742 Discovery Miles 7 420
Extremum Seeking through Delays and PDEs
Tiago Roux Oliveira, Miroslav Krstic Hardcover R3,485 R3,257 Discovery Miles 32 570
Convex Optimization for Machine Learning
Changho Suh Hardcover R3,340 Discovery Miles 33 400
Retail Arbitrage - How to Make Money…
Tony Bennis Hardcover R771 Discovery Miles 7 710

See more

Partners