Intelligent Computational Optimization in Engineering

Techniques and Applications

  • Mario Köppen
  • Gerald Schaefer
  • Ajith Abraham
Part of the Studies in Computational Intelligence book series (SCI, volume 366)

Table of contents

  1. Front Matter
  2. Intelligent Computational Optimization in Engineering: Techniques and Applications

    1. Lars Nolle, Mario Köppen, Gerald Schaefer, Ajith Abraham
      Pages 1-24
  3. Part I: Frameworks

    1. Front Matter
      Pages 25-25
    2. Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros, Raúl Rojas
      Pages 27-54
    3. Marko Žerdin, Alexander Gibrekhterman, Uzi Zahavi, Dovi Yellin
      Pages 55-83
    4. Esteban Tlelo-Cuautle, Ivick Guerra-Gómez, Luis Gerardo de la Fraga, Georgina Flores-Becerra, Said Polanco-Martagón, Mourad Fakhfakh et al.
      Pages 109-138
  4. Part II: Algorithm Integration

  5. Part III: Applications

    1. Front Matter
      Pages 271-271
    2. Mourad Fakhfakh, Amin Sallem, Mariam Boughariou, Sameh Bennour, Eya Bradai, Emna Gaddour et al.
      Pages 297-327
  6. Back Matter

About this book

Introduction

We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches.

 

This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.

Keywords

Computational Intelligence Intelligent Computational Methods Intelligent Optimization

Editors and affiliations

  • Mario Köppen
    • 1
  • Gerald Schaefer
    • 2
  • Ajith Abraham
    • 3
  1. 1.Dept. Artificial IntelligenceKyushu Institute of TechnologyIzuka-ShiJapan
  2. 2.School of Engineering and Applied ScienceAston UniversityBirminghamU.K.
  3. 3.Machine Intelligence Research Labs (MIR Labs)Scientific Network for Innovation and Research ExcellenceAuburnUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21705-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-21704-3
  • Online ISBN 978-3-642-21705-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book