We study the electrical conductivity of three-dimensional (3D) nanocomposite with incorporated random carbon nanotubes (CNT). Large length of the remote nanotubes generates a lot of intersections that induce rather small percolating threshold of the global conductivity in this medium. We simulate such a system by random cylinders placed in a percolating parallelepiped with the use of Monte Carlo method. Conductivity of such structure is associated with the critical phenomena, where the main transition parameter is de ned by the value of the percolation threshold. We calculate the minimal percolating threshold and determine the functional form of the conductivity by the global optimization technique. Such an approach allows studying the details of the electrical conductivity in nanocomposites even at signi cant level of the percolating fluctuations.
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