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

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Mathematics, Statistics, General Computing
Cover of the book EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII by , Springer International Publishing
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Author: ISBN: 9783319493251
Publisher: Springer International Publishing Publication: April 27, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319493251
Publisher: Springer International Publishing
Publication: April 27, 2017
Imprint: Springer
Language: English

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.

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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.

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