Special Session on:
Swarm Optimization Algorithms and Applications in Dynamic Environments
IEEE Swarm Intelligence Symposium 2007
Call for Papers
(Deadline extended)
In the real world we usually have to deal with the task of searching for an optimal solution in a dynamic environment. Because of the continual change of both the external environment and parameters, the optimum solution will also change with time. In contrast to the static case, the main goal in dynamic optimization problems is no longer to acquire just the global extreme but to track its orbit through space as closely as possible, or to find a robust solution that operates optimally in the presence of uncertainties. Many algorithms fail when applied to the dynamic problem due to their inability to adapt or self-adapt to the change of the environment. The swarm algorithms have been demonstrated as efficient algorithms for tracking/finding the optimal solution in the dynamic environment and have received an increasing interest over the past several years. The objective of this special session is to bring researchers from academia and industry together to review the latest advances and to explore future directions in the field.
Possible topic areas include, but are certainly not limited to:
Organizer chairs:
Dr. Xiaohui Cui and Dr. Thomas E. Potok (
Paper submission procedure:
Prospective authors are invited to submit a draft paper
(IEEE style) in PDF-format via email to Dr. Xiaohui Cui (cuix@ornl.gov) by the due date. The paper format
can be found on http://www.computelligence.org/sis/paperform.html.
All manuscripts will be peer reviewed by at least two reviewers, acceptance
being based on the manuscripts' quality and relevance.
Important dates:
Correspondence Address:
Dr. Xiaohui Cui
PO Box 2008,
MS6085
Fax:
+1-865-576-0003
E-mail: cuix@ornl.gov
Last modified November 7, 2006