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Advances in Swarm Intelligence: First International Conference, ICSI 2010, Beijing

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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 first gathering in the world for researchers working on all aspects of swarm intelligence, and provided an academic forum for the participants to disseminate their new research findings and discuss emerging areas of research. It also created a stimulating environment for the participants to interact and exchange information 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.

In addition to the contributed papers, the ICSI 2010 technical program included four plenary speeches by Russell C. Eberhart (Indiana University Purdue University Indianapolis, IUPUI, USA), Gary G. Yen (President of IEEE Computational Intelligence Society, CIS, Oklahoma State University, USA), Erol Gelenbe (London Imperial College, UK), Nikola Kasabov (President of International Neural Network Soceity, INNS, Auckland University of Technology, New Zealand). Besides the regular parallel oral sessions, ICSI 2010 also had several poster sessions focusing on wide areas.

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