Der Artikel ist weiterhin als ^^OTHERCONDITION^^ verfügbar.

Evolutionary Optimization: the µGP toolkit

 Buch
Besorgungstitel | Lieferzeit:3-5 Tage I
ISBN-13:
9780387094250
Einband:
Buch
Seiten:
178
Autor:
Ernesto Sanchez
Gewicht:
420 g
Format:
235xx mm
Sprache:
Englisch
Beschreibung:

This text begins with an overview of the most popular techniques of evolutionary computation followed by a discussion of the theoretical and practical aspects of miGP. It includes several detailed examples with actual results.
Evolutionary computation.- Why yet another one evolutionary optimizer?.- The miGP 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
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 miGP (MicroGP) to autonomously find the optimal solution of hard problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers.
For a practitioner, miGP is simply a versatile optimizer to tackle most problems with limited setup effort. The book is valuable for all who require heuristic problem-solving methodologies, such as engineers dealing with verification and test of electronic circuits; or researchers working in robotics and mobile communication. Examples are provided to guide the reader through the process, from problem definition to gathering results.

For an evolutionary computation researcher, miGP may be regarded as a platform where new operators and strategies can be easily tested.

MicroGP (the toolkit) is an active project hosted by Sourceforge: ugp3.sourceforge.net/

This text begins with an overview of the most popular techniques of evolutionary computation followed by a discussion of the theoretical and practical aspects of miGP. It includes several detailed examples with actual results.
Evolutionary computation.- Why yet another one evolutionary optimizer?.- The miGP 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
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 miGP (MicroGP) to autonomously find the optimal solution of hard problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers.
For a practitioner, miGP is simply a versatile optimizer to tackle most problems with limited setup effort. The book is valuable for all who require heuristic problem-solving methodologies, such as engineers dealing with verification and test of electronic circuits; or researchers working in robotics and mobile communication. Examples are provided to guide the reader through the process, from problem definition to gathering results.

For an evolutionary computation researcher, miGP may be regarded as a platform where new operators and strategies can be easily tested.

MicroGP (the toolkit) is an active project hosted by Sourceforge: ugp3.sourceforge.net/
Autor: Ernesto Sanchez
ISBN-13:: 9780387094250
ISBN: 0387094253
Verlag: Springer, Berlin
Gewicht: 420g
Seiten: 178
Sprache: Englisch
Auflage 2011
Sonstiges: Buch, 235xx mm, XIII, 178 p.