Simulated Evolution and Learning

10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings
2014
ISBN: 978-3-319-13562-5
Verlag: Springer International Publishing

Buch, Englisch, Band 8886, 862 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 13037 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Dick, Grant

Singh, Pramod

Browne, Will N.

Tan, Kay Chen

Whigham, Peter

Ishibuchi, Hisao

Zhang, Mengjie

Bui, Lam Thu

Jin, Yaochu

Li, Xiaodong

Tang, Ke

Shi, Yuhui

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

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.