MAS 2020 Call For Papers

Simulation based Optimization

Chairs: ^(a)Pasquale Legato; ^(b)Rina Mary Mazza

Affiliation: ^(a) (b)University of Calabria (Italy)

Contact: ^(a)legato@deis.unical.it; ^(b)rmazza@deis.unical.it

Author’s Instruction for paper submission

Track Description

Simulation based optimization is an integrated methodology developed around the problem of optimizing a cost/performance function over a finite or countably infinite set of alternative system configurations/parameters, whenever the function has to be estimated via stochastic simulation. Modern system design and management ask for the generation of alternative system configurations followed by the choice of what alternative to simulate as well as how to evaluate and compare simulation results. Hence, the track is centered on new developments in simulation optimization techniques and tools as well as on their practical applications and implementation on classical and innovative platforms. In particular, reports on discrete-event simulation combined with structured search methods for solving real problems in system organization and management are welcome.

Topics of interest include:

Discrete-event simulation optimization tools and innovative computational platforms.
Modeling languages and simulation world views.
Selecting the best system.
Warehouse Organization, Control and Optimization.
Local and global search methods.
Combining search algorithms with ranking and selection techniques.
Applications of simulation based optimization techniques.

Nevertheless, different discrete-event simulation-centered topics are welcome. Authors are kindly invited to include in their papers and presentations all the research works, case studies and application both theoretical and applied.

For further information please contact Pasquale Legato and Rina Mary Mazza.

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