Emmerich EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

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Beschreibung

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.
Comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems Presents selected results of the EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation meeting held in Leiden, Netherlands in July 2013 Offers the latest research on probability, set-oriented numerics and evolutionary computation Includes supplementary material: sn.pub/extras

Autor*in

Michael Emmerich

Themen in »EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII«

Probability Set Oriented Numerics Evolutionary Computing Multiobjective Optimization EVOLVE 2013

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Details

ISBN: 9783319841335
Verlag: Springer International Publishing
Erscheinung: 20.07.2018

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