Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Metaheuristics for Bi-level Optimization

Metaheuristics for Bi-level Optimization

Talbi, El-Ghazali (Ed.)

2013, XVIII, 288 p. 69 illus.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-37838-6

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-37837-9

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Recent research on Metaheuristics
  • Focuses on Metaheuristics for bi-level Optimization
  • Written by leading experts in the field

This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains.
Readers learn to solve large scale bi-level optimization problems by efficiently combining metaheuristics with complementary metaheuristics and mathematical programming approaches. Numerous real-world examples of problems demonstrate how metaheuristics are applied in such fields as networks, logistics and transportation, engineering design, finance and security.

Content Level » Research

Keywords » Bi-level Optimization - Computational Intelligence - Metaheuristics

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents 

A taxonomy of metaheuristics for bi-level optimization.- A genetic algorithm for power system vulnerability analysis under multiple contingencies.- A bilevel particle swarm optimization algorithm for supply chain management problems.- CoBRA: A coevolutionary metaheuristic for bi-level optimization.- A matheuristic for leader-follower games involving facility location-protection-interdiction decisions.- A metaheuristic framework for bi-Level programming problems with multi-disciplinary applications.- Matheuristics and Exact Methods for the Discrete (r|p)-Centroid Problem.- Exact solution methodologies for linear and (mixed) integer bilevel programming.- Bilevel multi-Objective optimization and decision making.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.