High Effectiveness and Pick Efficiency in Optimization

Computational Swarm Intelligence algorithms, often inspired by communication and interaction between social agents such as ants or bees, play important role in Artificial Intelligence. Different learning and adaptive mechanisms incorporated in these techniques (applied in real-world applications), are the research area that currently becomes the main field of Computational Collective Intelligence.

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Prof. US Dr. hab. Urszula Boryczka
Institute of Computer Science
University of Silesia
41-200 Sosnowiec, ul. Będzińska 39, Poland
Phone: 032 3689 754
Fax: 032 3689 866

Information for authors

The submitted papers should present results of the original and unpublished research. The papers will be reviewed by the ICCCI 2011 International Program Committee. The best submissions will be selected for presentation and will be included in the conference proceedings. The conference proceedings are planned to be published and distributed by Springer-Verlag in series LNCS/LNAI. Submitted papers should be prepared in LNCS/LNAI style and should be limited to 10 pages. All papers must be submitted electronically via conference submission system (CSI’2012: Computational Swarm Intelligence).