  In this work, we analyse the $q-$state Potts model with long-range
interactions through nonequilibrium scaling relations commonly used when
studying short-range systems. We determine the critical temperature via an
optimization method for short-time Monte Carlo simulations. The study takes
into consideration two different boundary conditions and three different values
of range parameters of the couplings. We also present estimates of some
critical exponents, named as raw exponents for systems with long-range
interactions, which confirm the non-universal character of the model. Finally,
we provide some preliminary results addressing the relations between the raw
exponents and the exponents obtained for systems with short-range interactions.
The results assert that the methods employed in this work are suitable to study
the considered model and can easily be adapted to other systems with long-range
interactions.
