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Many diverse problems have been solved by artificial intelligence programs.
Economic dispatch (ED) problems have recently been solved by artificial neural network approaches.
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In [14], the coordinated planning problem of WF and thermal power plants are solved by artificial immune optimization method.
This is a typical problem that can be solved by artificial neural network (ANN) if the phenomenon to be modeled is non-linear; such as the one used in this research.
They are now being solved by artificial intelligence that uses data to forecast increasingly accurate answers to these questions.
The problem of determining the trajectories to control greenhouse crop growth has traditionally been solved by using constrained optimization or applying artificial intelligence techniques.
In this case the Langevin equations which correspond to the drift kinetic equation have been solved by splitting the particle motion into a deterministic part which is interrupted by an artificial collision event.
The Navier Stokes equations are solved by the artificial compressibility approach.
The problem can be solved by a synthesis of artificial intelligence.
A mixed integer optimization model is developed and was solved by a Hybrid Enhanced Artificial Bee Colony algorithm (HEABC).
It would be solved by merging future nanotechnology to realize artificial nano-machines.
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