EVOLVE -- A bridge between probability, set oriented numerics, and evolutionary computation V /

EVOLVE -- A bridge between probability, set oriented numerics, and evolutionary computation V /

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Bibliographic Details
Meeting name:	EVOLVE (International conference) (2014 : Beijing, China)
Imprint:	Cham : Springer, 2014.
Description:	1 online resource (xiv, 336 pages) : illustrations (some color).
Language:	English
Series:	Advances in Intelligent Systems and Computing, 2194-5357 ; volume 288 Advances in intelligent systems and computing ; v. 288.
Subject:	Evolutionary computation -- Congresses. Combinatorial optimization -- Congresses. Combinatorial optimization. Evolutionary computation. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11085678

Hidden Bibliographic Details
Other authors / contributors:	Tantar, Alexandru-Adrian, editor.
ISBN:	9783319074948 3319074946 3319074938 9783319074931 9783319074931
Notes:	Includes author index. Includes bibliographical references at the end of each chapters and index. Online resource; title from PDF title page (SpringerLink, viewed June 16, 2014).
Summary:	This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1-4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner's view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner's perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.
Other form:	Printed edition: 9783319074931
Standard no.:	10.1007/978-3-319-07494-8

Table of Contents:

Set Oriented Numerics
Computational Game Theory
Machine Learning Applied to Networks
Complex Networks and Landscape Analysis
Local Search and Optimization
Genetic Programming
Evolutionary Multiobjective Optimization
Practical Aspects of Evolutionary Algorithms.