Simulated evolution and learning : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014 : proceedings

Resource Information

The work Simulated evolution and learning : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014 : proceedings represents a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries. This resource is a combination of several types including: Work, Language Material, Books, http://bibfra.me/vocab/marc/conference-publication.

Label

Simulated evolution and learning : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014 : proceedings

Title remainder

10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014 : proceedings

Statement of responsibility

Grant Dick [and 11 others] (Eds.)

Title variation

SEAL 2014

Creator

• SEAL (Conference), 2014

Contributor

• Dick, Grant

Editor

• Dick, Grant

Subject

• Computer simulation
• Computer simulation -- Congresses
• Conference papers and proceedings
• Conference papers and proceedings
• Evolutionary programming (Computer science)
• Evolutionary programming (Computer science)
• Evolutionary programming (Computer science) -- Congresses
• Machine learning
• Machine learning
• Machine learning -- Congresses
• Mathematical optimization
• Mathematical optimization
• Mathematical optimization -- Congresses
• Multidisciplinary design optimization
• Multidisciplinary design optimization
• Multidisciplinary design optimization -- Congresses
• Computer simulation

Genre

• Conference papers and proceedings
• Congresses

Language

eng

Summary

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

Member of

• LNCS sublibrary, SL 1, Theoretical computer science and general issues
• Lecture notes in computer science, 8886
• Lecture notes in computer science, 8886.

Cataloging source

NLGGC

Dewey number

006.3/823

Illustrations

illustrations

Index

index present

LC call number

QA76.618

LC item number

.S43 2014

Literary form

non fiction

Nature of contents

dictionaries

Series statement

• Lecture Notes in Computer Science,
• LNCS sublibrary. SL 1, Theoretical computer science and general issues

Series volume

8886