Evolutionary Optimization: the µGP toolkit

• Main Authors: Sanchez, Ernesto (Author), Schillaci, Massimiliano (Author), Squillero, Giovanni (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2011.
• Subjects: Computer science.; Artificial intelligence.; Application software.; Computer-aided engineering.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Applications.; Computer-Aided Engineering (CAD, CAE) and Design.

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...

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.