The PaCOS workshop seeks to provide an opportunity for researchers to present their original contributions on the joint use of advanced single- or multi-objective optimization methods, simulation and/or its data-driven approximation, and distributed and/or parallel multi/many-core computing, and any related issues. The PaCOS topics include (but are not limited to) the following:

• Simulation-based optimization.
• Parallel exact optimization/metaheuristics for solving complex problems on multi-core processors, accelerators/co-processors (e.g. GPU), clusters, grids/clouds, etc.
• (Parallel) hybrid algorithms combining optimization and simulation.
• (Parallel) surrogate-assisted optimization.
• Implementation issues of methods combining optimization, simulation and/or parallel computing.
• Software frameworks for the design and implementation of parallel and/or distributed simulation and/or surrogate-assisted techniques.
• Simulation-based optimization applications including healthcare, manufacturing, logistics, biological applications, advanced big data analytics, engineering design, etc.
• Computational/theoretical studies reporting results on solving complex problems using the joint use of parallel computing, optimization and simulation.