WCO 2017 - 10th International Workshop on Computational Optimization (WCO'17)

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.
Topics
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.