EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 662
Release date:	May 2017
First published:	2017
Editors:	Michael Emmerich • Andre Deutz • Oliver Schutze • Pierrick Legrand • Emilia Tantar • Alexandru-Adrian Tantar
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	210
Edition:	1st ed. 2017
ISBN-13:	978-3-319-49324-4
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-49324-8
Barcode:	9783319493244

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