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Cărți în limba engleză > Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics > EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

Name: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
Brand: Springer International Publishing AG
SKU: 01469111
Price: 1134.79 RON
Availability: InStock
Author: Michael Emmerich
ISBN: 9783319011271

International Conference held at Leiden University, July 10-13, 2013

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engleză

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Codul Libristo: 01469111

Editura Springer International Publishing AG, iunie 2013

Numerical and computational methods are nowadays used in a wide range of contexts in complex systems... Descrierea completă

Codul Libristo: 01469111

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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.