EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII / Studies in Computational Intelligence Bd.662 (PDF)
(Sprache: Englisch)
This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as...
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Produktinformationen zu „EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII / Studies in Computational Intelligence Bd.662 (PDF)“
This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems. It provides extended versions of selected papers from various fields of science such as computer science, mathematics and engineering that were presented at EVOLVE 2013 held in July 2013 at Leiden University in the Netherlands. The internationally peer-reviewed papers include original work on important topics in both theory and applications, such as the role of diversity in optimization, statistical approaches to combinatorial optimization, computational game theory, and cell mapping techniques for numerical landscape exploration. Applications focus on aspects including robustness, handling multiple objectives, and complex search spaces in engineering design and computational biology.
Bibliographische Angaben
- 2017, 1st ed. 2017, 210 Seiten, Englisch
- Herausgegeben: Michael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319493256
- ISBN-13: 9783319493251
- Erscheinungsdatum: 27.04.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 6.55 MB
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Sprache:
Englisch
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