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Experimental Research in Evolutionary Computation The New Experimentalism /
Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Colección: | Natural Computing Series,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-540-32027-2 | ||
| 003 | DE-He213 | ||
| 005 | 20230719195511.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2006 gw | s |||| 0|eng d | ||
| 020 | |a 9783540320272 |9 978-3-540-32027-2 | ||
| 024 | 7 | |a 10.1007/3-540-32027-X |2 doi | |
| 050 | 4 | |a Q334-342 | |
| 050 | 4 | |a TA347.A78 | |
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| 072 | 7 | |a COM004000 |2 bisacsh | |
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| 100 | 1 | |a Bartz-Beielstein, Thomas. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Experimental Research in Evolutionary Computation |h [electronic resource] : |b The New Experimentalism / |c by Thomas Bartz-Beielstein. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2006. | |
| 300 | |a XIV, 215 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 | ||
| 490 | 1 | |a Natural Computing Series, |x 2627-6461 | |
| 505 | 0 | |a Basics -- Research in Evolutionary Computation -- The New Experimentalism -- Statistics for Computer Experiments -- Optimization Problems -- Designs for Computer Experiments -- Search Algorithms -- Results and Perspectives -- Comparison -- Understanding Performance -- Summary and Outlook. | |
| 520 | |a Experimentation is necessary - a purely theoretical approach is not reasonable. The new experimentalism, a development in the modern philosophy of science, considers that an experiment can have a life of its own. It provides a statistical methodology to learn from experiments, where the experimenter should distinguish between statistical significance and scientific meaning. This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. The book develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. Treating optimization runs as experiments, the author offers methods for solving complex real-world problems that involve optimization via simulation, and he describes successful applications in engineering and industrial control projects. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples, so it is suitable for practitioners and researchers and also for lecturers and students. It summarizes results from the author's consulting to industry and his experience teaching university courses and conducting tutorials at international conferences. The book will be supported online with downloads and exercises. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Theory of Computation. |
| 650 | 2 | 4 | |a Computer Modelling. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Optimization. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642068737 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540820277 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540320265 |
| 830 | 0 | |a Natural Computing Series, |x 2627-6461 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/3-540-32027-X |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||