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Evolutionary Optimization: the µGP toolkit

This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to autonomously find the optimal solution of hard pro...

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Bibliographic Details
Main Authors: Sanchez, Ernesto, Schillaci, Massimiliano (Author), Squillero, Giovanni (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2011, 2011
Edition:1st ed. 2011
Subjects:
Computer Applications
Application Software
Artificial Intelligence
Computer-aided Engineering
Computer-aided Engineering (cad, Cae) And Design
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Evolutionary computation
  • Why yet another one evolutionary optimizer?
  • The μGP architecture
  • Advanced features
  • Performing an evolutionary run
  • Command line syntax
  • Syntax of the settings file
  • Syntax of the population parameters file
  • Syntax of the external constraints file
  • Writing a compliant evaluator
  • Implementation details
  • Examples and applications
  • Argument and option synopsis
  • External constraints synopsis
  • Index
  • References

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