CORVINUS University of Budapest - BCE
Budapest
University of Technology and Economics - BME
BME court
BCE inside
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Complex systems in economic, engineering and natural sciences involve the
solving of many optimisation problems. Many of the present approaches
consider operations research optimisation models. Analytically tractable
models are impractical in change settings due to their limitations in
modelling important details and features of real world complex systems.
Simulation models, on the other hand, provide the flexibility to
accommodate arbitrary stochastic elements, and generally allow modelling
of all the complexities and dynamics of real world applications without
undue simplifying assumptions. However, simulation itself is not an
optimisation approach. Thus, in this track methods and approaches of
simulation and of the solution of optimisation problems shall be linked to
solve optimisation problems faster or make their solutions better usable
(under realistic conditions).
Topics
should be
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Applications of operations research optimisation on
business processes in general as well as applications in economic,
engineering and natural sciences.
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Analysis and modelling of complex systems.
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Optimisation procedures and optimisation potentials
of complex systems.
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Combinatorial optimization and integer programming
tools to handle complex systems
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Procedures of discrete event and continuous time
simulation.
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(Simulation-based) heuristic and algorithmic
procedures for efficiently solving complex problems.
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Optimisation Models for Operations and Business
Processes, for Technological Devices and for Processes and in Finance,
Economics, Logistics as well as Social Sciences.
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Simulation Optimisation methods.
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Simulation-based hybrid optimisation techniques.
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Utilisation of simulation to make optimization
problems and their (feasible) solutions usable under industrial
conditions.
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Proper handling of uncertainty and the attainment of
robust solutions.
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Methods of calibration, validation and verification
of models (under realistic conditions).
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Tools for simulation and optimisation: their more
effective design for operating under realistic conditions, especially
concerning shorter runtimes, as well as their architecture.
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