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The use of simulation for forecasting the number of docks necessary in an expedition department
(Int Centre Innovation & Industrial Logistics-iciil, 2006-01-01)
The simulation is a very powerful tool to develop more efficient systems, hence it is been widely used with the goal of productivity improvement. Its results, if compared with other methods, are not always optimum; however, ...
The use of simulation for forecasting the number of docks necessary in an expedition department
(Int Centre Innovation & Industrial Logistics-iciil, 2006-01-01)
The simulation is a very powerful tool to develop more efficient systems, hence it is been widely used with the goal of productivity improvement. Its results, if compared with other methods, are not always optimum; however, ...
A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Simulation and Optimization of Semicontinuous Industrial Tunnel Dryers for Fruits
(Taylor & Francis IncPhiladelphiaEUA, 2009)
Simulation and response surface analysis for the optimization of a three-phase catalytic slurry reactor
(Elsevier Science SaLausanneSuíça, 2005)
Piecewise-constant optimal control strategies for controlling the outbreak of COVID-19 in the Irish population
We introduce a deterministic SEIR model and fit it to epidemiological data for the COVID-19 outbreak in
Ireland. We couple the model to economic considerations — we formulate an optimal control problem in
which the cost ...
A barrier method for constrained nonlinear optimization using a modified Hopfield network
(2001-01-01)
The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter ...