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
Call Number:Libro Electrónico
Main Authors: Sanchez, Ernesto (Author), Schillaci, Massimiliano (Author), Squillero, Giovanni (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Subjects:
Artificial intelligence.
Application software.
Computer-aided engineering.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer-Aided Engineering (CAD, CAE) and Design.
Online Access:Texto Completo
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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