Computational Optimization and Applications in Engineering and Industry

  • Xin-She Yang
  • Slawomir Koziel
Part of the Studies in Computational Intelligence book series (SCI, volume 359)

Table of contents

  1. Front Matter
  2. David Echeverría Ciaurri, Tapan Mukerji, Louis J. Durlofsky
    Pages 19-55
  3. Slawomir Koziel, Stanislav Ogurtsov
    Pages 57-97
  4. Kerstin Wendt, Mónica Denham, Ana Cortés, Tomàs Margalef
    Pages 125-143
  5. M. P. Saka, I. Aydogdu, O. Hasancebi, Z. W. Geem
    Pages 145-182
  6. Louise Wright, Xin-She Yang, Clare Matthews, Lindsay Chapman, Simon Roberts
    Pages 205-220
  7. Golnar Gharooni-fard, Fahime Moein-darbari
    Pages 245-270
  8. Back Matter

About this book

Introduction

Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas.

 

Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.

Keywords

Computational Intelligence Computational Optimization

Editors and affiliations

  • Xin-She Yang
    • 1
  • Slawomir Koziel
    • 2
  1. 1.National Physical LaboratoryMathematics and Scientific ComputingTeddingtonUK
  2. 2.Engineering Optimization & Modeling Center, School of Science and EngineeringReykjavik UniversityReykjavikIceland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-20986-4
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-20985-7
  • Online ISBN 978-3-642-20986-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503