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Advances in Evolutionary Algorithms Theory, Design and Practice /
Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Studies in Computational Intelligence,
18 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-540-31759-3 | ||
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| 020 | |a 9783540317593 |9 978-3-540-31759-3 | ||
| 024 | 7 | |a 10.1007/3-540-31759-7 |2 doi | |
| 050 | 4 | |a TA329-348 | |
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| 082 | 0 | 4 | |a 620 |2 23 |
| 100 | 1 | |a Ahn, Chang Wook. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Advances in Evolutionary Algorithms |h [electronic resource] : |b Theory, Design and Practice / |c by Chang Wook Ahn. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2006. | |
| 300 | |a XVI, 172 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 Studies in Computational Intelligence, |x 1860-9503 ; |v 18 | |
| 505 | 0 | |a Practical Genetic Algorithms -- Real-World Application: Routing Problem -- Elitist Compact Genetic Algorithms -- Real-coded Bayesian Optimization Algorithm -- Multiobjective Real-coded Bayesian Optimization Algorithm -- Conclusions. | |
| 520 | |a Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms. In this regard, five significant issues have been investigated: Bridging the gap between theory and practice of GEAs, thereby providing practical design guidelines. Demonstrating the practical use of the suggested road map. Offering a useful tool to significantly enhance the exploratory power in time-constrained and memory-limited applications. Providing a class of promising procedures that are capable of scalably solving hard problems in the continuous domain. Opening an important track for multiobjective GEA research that relies on decomposition principle. This book serves to play a decisive role in bringing forth a paradigm shift in future evolutionary computation. | ||
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering-Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Mathematical and Computational Engineering Applications. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642068607 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540820055 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540317586 |
| 830 | 0 | |a Studies in Computational Intelligence, |x 1860-9503 ; |v 18 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/3-540-31759-7 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||