Numerical and Evolutionary Optimization - NEO 2017 / Studies in Computational Intelligence Bd.785 (PDF)
(Sprache: Englisch)
This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory,...
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Produktinformationen zu „Numerical and Evolutionary Optimization - NEO 2017 / Studies in Computational Intelligence Bd.785 (PDF)“
This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.
Bibliographische Angaben
- 2018, 1st ed. 2019, 312 Seiten, Englisch
- Herausgegeben: Leonardo Trujillo, Oliver Schütze, Yazmin Maldonado, Paul Valle
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319961047
- ISBN-13: 9783319961040
- Erscheinungsdatum: 12.07.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 31 MB
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Englisch
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