Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings

Author:   Grant Dick ,  Will N. Browne ,  Peter Whigham ,  Mengjie Zhang
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
Volume:   8886
ISBN:  

9783319135625


Pages:   862
Publication Date:   20 November 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings


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Overview

This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.

Full Product Details

Author:   Grant Dick ,  Will N. Browne ,  Peter Whigham ,  Mengjie Zhang
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Volume:   8886
Dimensions:   Width: 15.50cm , Height: 4.40cm , Length: 23.50cm
Weight:   1.324kg
ISBN:  

9783319135625


ISBN 10:   3319135627
Pages:   862
Publication Date:   20 November 2014
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Evolutionary optimization.- Evolutionary multi-objective optimization.- Evolutionary machine learning.- Theoretical developments.- Evolutionary feature reduction.- Evolutionary scheduling and combinatorial optimization.- Real world applications and evolutionary image analysis.

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