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Viac informácií o knihe EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

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• Anotácia kniha
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Anotácia knihy

Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set-oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines. §These proceedings features 20 original publications from distinguished authors in the cross-section of computational sciences, such as Machine Learning Algorithms and Probabilistic Models, Complex Networks and Fitness Landscape Analysis, Set Oriented Numerics and Cell Mapping, Evolutionary Multiobjective Optimization, Diversity-oriented Evolutionary Methods, and the Foundations of Genetic Programming Algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
• Podnázov: International Conference held at Leiden University, July 10-13, 2013
• Autor: Michael Emmerich, Andre Deutz, Oliver Schuetze, Thomas Bäck
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 324
• EAN: 9783319011271
• ISBN: 3319011278
• ID: 01469111
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 5153 g
• Rozmery: 235 × 155 × 237 mm
• Dátum vydania: 12. June 2013

Obľúbené z iného súdka

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