9th International Workshop on Computational Optimization (WCO'16)

September 11 - 14 , 2016

Gdansk, Poland

 

Scope

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

• unconstrained and constrained optimization
• combinatorial optimization
• continues optimization
• global optimization
• multiobjective optimization
• optimization in dynamic and/or noisy environments
• large scale optimization
• parallel and distributed approaches in optimization
• random search algorithms, simulated annealing, tabu search and other derivative free optimization 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
• computational biology and optimization
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