Introduction

  • Ernesto Sanchez
  • Giovanni Squillero
  • Alberto Tonda
Part of the Intelligent Systems Reference Library book series (ISRL, volume 34)

Abstract

This first chapter provides the reader with a survey of current industrial problems, hinting at their complexity and variety. It is shown how traditional computational techniques often fail to deliver the expected results in modern real-world applications, while computational intelligence show an increasing amount of interesting results. Some background and a brief history of Evolutionary Algorithms (EAs) are then provided, introducing these interesting stochastic optimization techniques.

Keywords

Genetic Algorithm Evolutionary Algorithm Genetic Programming Evolution Strategy Evolutionary Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ernesto Sanchez
    • Giovanni Squillero
      • Alberto Tonda

        There are no affiliations available

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