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...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer US
2011, 2011
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Edition: | 1st ed. 2011 |
Subjects: | |
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