TAN Advances in Swarm Intelligence

First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II
Erscheinungsjahr 2010
ISBN: 978-3-642-13498-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 6146, 772 Seiten, eBook

Reihe: Lecture Notes in Computer Science

This book and its companion volume, LNCS vols. 6145 and 6146, constitute the proceedings of the International Conference on Swarm Intelligence (ICSI 2010) held in Beijing, the capital of China, during June 12-15, 2010. ICSI 2010 was the ?rst gathering in the world for researchers working on all aspects of swarm intelligence, and providedan academic forum for the participants to disseminate theirnewresearch?ndingsanddiscussemergingareasofresearch.Italsocreated a stimulating environment for the participants to interact and exchange inf- mation on future challenges and opportunities of swarm intelligence research. ICSI 2010 received 394 submissions from about 1241 authors in 22 countries and regions (Australia, Belgium, Brazil, Canada, China, Cyprus, Hong Kong, Hungary, India, Islamic Republic of Iran, Japan, Jordan, Republic of Korea, Malaysia, Mexico, Norway, Pakistan, South Africa, Chinese Taiwan, UK, USA, Vietnam) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Each submission was reviewed by at least three reviewers. Based on rigorous reviews by the Program Committee members and reviewers, 185 high-quality papers were selected for publication in the proceedings with the acceptance rate of 46.9%. The papers are organized in 25 cohesive sections covering all major topics of swarm intelligence research and development.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

TAN, KAY CHEN

Inhaltsverzeichnis

Fuzzy Methods.- Applications of Computational Intelligence Algorithms.- Signal Processing and Information Security.- Information Processing System.- Intelligent Control.- Classifier Systems.- Machine Learning Methods.- Other Optimization Algorithms.- Data Mining Methods.- Intelligent Computing Methods and Applications.- Data Mining Algorithms and Applications.- Other Applications.