Evolutionary Optimization: the µGP toolkit

• Κύριοι συγγραφείς: Sanchez, Ernesto (Συγγραφέας), Schillaci, Massimiliano (Συγγραφέας), Squillero, Giovanni (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2011.
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.