EVOLVE : a bridge between probability, set oriented numerics and evolutionary computation VII /

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Bibliographic Details
Meeting name:EVOLVE (Conference) (3rd : 2013 : Rijksuniversiteit te Leiden), creator.
Imprint:Cham, Switzerland : Springer, 2017.
Description:1 online resource (viii, 210 pages) : illustrations (some color)
Language:English
Series:Studies in computational intelligence, 1860-949X ; volume 662
Studies in computational intelligence ; v. 662.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11273516
Hidden Bibliographic Details
Other authors / contributors:Emmerich, Michael (Associate professor), editor.
Deutz, André, editor.
Schütze, Oliver (Computer scientist), editor.
Legrand, Pierrick, editor.
Tantar, Emilia, 1981- editor.
Tantar, Alexandru-Adrian, editor.
ISBN:9783319493251
3319493256
9783319493244
3319493248
Digital file characteristics:text file
PDF
Notes:Online resource; title from PDF title page (SpringerLink, viewed May 2, 2017).
Summary: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.
Other form:Print version: EVOLVE (International conference) (2013 : Leiden, Netherlands). EVOLVE. Cham, Switzerland : Springer, 2017 3319493248 9783319493244
Standard no.:10.1007/978-3-319-49325-1