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

EVOLVE  A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
EVOLVE A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII By Michael Emmerich, Andre Deutz, Oliver Schutze, Pierrick Legrand, Emilia Tantar, AlexandruAdrian Tantar
English | PDF | 2017 | 210 Pages | ISBN : 3319493248 | 6.63 MB
This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems.

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 peerreviewed 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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EVOLVE  A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII
EVOLVE A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII By Michael Emmerich, Andre Deutz, Oliver Schutze, Pierrick Legrand, Emilia Tantar, AlexandruAdrian Tantar
English | PDF | 2017 | 210 Pages | ISBN : 3319493248 | 6.63 MB
This book comprises nine selected works on numerical and computational methods for solving multiobjective optimization, game theory, and machine learning problems.

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 peerreviewed 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.
Download link:

You must register before you can view links download. After Register and Login.
Leave message here to Request.

Links are Interchangeable - No Password - Single Extraction
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