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.