Advertisement

Industrial Applications of Evolutionary Algorithms

  • Ernesto Sanchez
  • Giovanni Squillero
  • Alberto Tonda

Part of the Intelligent Systems Reference Library book series (ISRL, volume 34)

Table of contents

  1. Front Matter
  2. Introduction

    1. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 1-10
    2. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 11-13
  3. Part I Prototype-Based Validation Problems

    1. Front Matter
      Pages 15-15
    2. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 17-30
    3. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 31-44
  4. Part II Design and Reliability Problems

    1. Front Matter
      Pages 45-45
    2. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 47-54
    3. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 55-74
    4. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 75-85
  5. Part III Test Generation Problems

    1. Front Matter
      Pages 87-87
    2. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 89-99
    3. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 101-110
    4. Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
      Pages 111-120
  6. Back Matter

About this book

Introduction

"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques.

Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions.

Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems.

The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject.

After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation.

The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.

Keywords

Automatic Software Verification Computational Intelligence Drift Correction Evolutionary Algorithms Industrial Applications MicroGP Multi-Objective EA Online Test Prototype-based Validation

Authors and affiliations

  • Ernesto Sanchez
    • 1
  • Giovanni Squillero
    • 2
  • Alberto Tonda
    • 3
  1. 1.DAUINPolitecnico di Torino Italy
  2. 2.DAUINPolitecnico di Torino Italy
  3. 3.DAUIN Politecnico di TorinoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-27467-1
  • Copyright Information Springer Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-27466-4
  • Online ISBN 978-3-642-27467-1
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site