Konferenciakalauz

Many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods.

The aim of this workshop is to stimulate the communication between researchers working on different fields of optimization and practitioners who need reliable and efficient computational optimization methods.

We invite original contributions related to both theoretical and practical aspects of optimization methods.

The list of topics includes, but is not limited to:

unconstrained and constrained optimization
combinatorial optimization
global optimization
multiobjective and multimodal optimization
dynamic and noisy optimization
large scale optimization
parallel and distributed approaches in optimization
random search algorithms, simulated annealing, tabu search and other derivative free optimization methods
interval methods
nature inspired optimization methods (evolutionary algorithms, ant colony optimization, particle swarm optimization, immune artificial systems etc)
hybrid optimization algorithms involving natural computing techniques and other global and local optimization methods
memetic algorithms
optimization methods for learning processes and data mining
computational optimization methods in statistics, econometrics, finance, physics, medicine, biology, engineering etc.

Important dates

31.05.2010 (May 31, 2010) – Full paper submission
12.07.2010 (July 12, 2010) – Notification of acceptance
23.08.2010 (August 23, 2010) – Camera-ready version of the accepted paper