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Evolutionary Algorithms and the Control of Systems

  • Malachy EatonEmail author
Chapter
  • 1.2k Downloads
Part of the SpringerBriefs in Intelligent Systems book series (BRIEFSINSY)

Abstract

Control of systems may reasonably be viewed as a branch of cybernetics as defined by Wiener: the “science of control and communication in the animal and the machine”. One of its central subjects is that of control, and particularly feedback control of autonomous robots which is one of our core areas of concern. Indeed, when Wiener gave the new discipline of Cybernetics a name in 1948 he made use of the Greek word for steersman, κυβερνήτης; he arrived at this term through the etymology of the word “governor”, a popular term used for the first widely used feedback device (Wiener 1948). Feedback control then is a topic of central importance in our understanding of biological and mechanical systems and in the design of robots and other machinery for the manipulation of our environment.

Keywords

Genetic Algorithm Evolutionary Algorithm Genetic Programming Simple Genetic Algorithm Evolutionary Strategy 
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.

Copyright information

© The Author(s) 2015

Authors and Affiliations

  1. 1.Department of Computer Science and Information SystemsUniversity of LimerickLimerickIreland

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