Studies in Computational Intelligence

Computational Optimization, Methods and Algorithms

Editors: Koziel, Slawomir, Yang, Xin-She (Eds.)

  • State of the art in Computational Optimization
  • Presents various Applications in Engineering and Industry
  • Written by leading experts in the field
see more benefits

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-20859-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-642-20858-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry.

 

This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.

Table of contents (8 chapters)

  • Optimization Algorithms

    Xin-She Yang

    Pages 13-31

  • Surrogate-Based Methods

    Slawomir Koziel, David Echeverría Ciaurri, Leifur Leifsson

    Pages 33-59

  • Derivative-Free Optimization

    Oliver Kramer, David Echeverría Ciaurri, Slawomir Koziel

    Pages 61-83

  • Traditional and Hybrid Derivative-Free Optimization Approaches for Black Box Functions

    Genetha Anne Gray, Kathleen R. Fowler

    Pages 125-151

  • Simulation-Driven Design in Microwave Engineering: Methods

    Slawomir Koziel, Stanislav Ogurtsov

    Pages 153-178

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-3-642-20859-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-3-642-20858-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Computational Optimization, Methods and Algorithms
Editors
  • Slawomir Koziel
  • Xin-She Yang
Series Title
Studies in Computational Intelligence
Series Volume
356
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer Berlin Heidelberg
eBook ISBN
978-3-642-20859-1
DOI
10.1007/978-3-642-20859-1
Hardcover ISBN
978-3-642-20858-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 283
Topics