Evolutionary Optimization: the µGP toolkit [recurso electrónico] / by Ernesto Sanchez, Massimiliano Schillaci, Giovanni Squillero.

Por: Sanchez, Ernesto [author.]Colaborador(es): Schillaci, Massimiliano [author.] | Squillero, Giovanni [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Boston, MA : Springer US, 2011Descripción: XIII, 178 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387094267Tema(s): Computer science | Artificial intelligence | Computer aided design | Computer Science | Artificial Intelligence (incl. Robotics) | Computer Applications | Computer-Aided Engineering (CAD, CAE) and DesignFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer eBooksResumen: 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 problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers. For a practitioner, µGP 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, µGP 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: http://ugp3.sourceforge.net/
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos Q334 -342 (Browse shelf(Abre debajo)) 1 No para préstamo 370164-2001

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.

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 problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers. For a practitioner, µGP 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, µGP 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: http://ugp3.sourceforge.net/

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