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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2011.
|
| Edición: | 1st ed. 2011. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-0-387-09426-7 | ||
| 003 | DE-He213 | ||
| 005 | 20220118155519.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110331s2011 xxu| s |||| 0|eng d | ||
| 020 | |a 9780387094267 |9 978-0-387-09426-7 | ||
| 024 | 7 | |a 10.1007/978-0-387-09426-7 |2 doi | |
| 050 | 4 | |a Q334-342 | |
| 050 | 4 | |a TA347.A78 | |
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| 082 | 0 | 4 | |a 006.3 |2 23 |
| 100 | 1 | |a Sanchez, Ernesto. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Evolutionary Optimization: the µGP toolkit |h [electronic resource] / |c by Ernesto Sanchez, Massimiliano Schillaci, Giovanni Squillero. |
| 250 | |a 1st ed. 2011. | ||
| 264 | 1 | |a New York, NY : |b Springer US : |b Imprint: Springer, |c 2011. | |
| 300 | |a XIII, 178 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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/. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Computer-aided engineering. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Computer-Aided Engineering (CAD, CAE) and Design. |
| 700 | 1 | |a Schillaci, Massimiliano. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Squillero, Giovanni. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9780387560229 |
| 776 | 0 | 8 | |i Printed edition: |z 9780387094250 |
| 776 | 0 | 8 | |i Printed edition: |z 9781489993687 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-0-387-09426-7 |z Texto Completo |
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||