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

• combinatorial and continuous global optimization

• unconstrained and constrained optimization

• multiobjective and robust optimization

• optimization in dynamic and/or noisy environments

• optimization on graphs

• large-scale optimization, in parallel and distributed computational environments

• meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods

• exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods

The applications of interest are included in the list below, but are not limited to:

• classical operational research problems (knapsack, traveling salesman, etc)

• computational biology and distance geometry

• data mining and knowledge discovery

• human motion simulations; crowd simulations

• industrial applications

• optimization in statistics, econometrics, finance, physics, chemistry, biology, medicine, and engineering