The problem of the equidistant deployment of a group of mobile agents on a line segment is studied. It is assumed that agent dynamics is modeled by double integrators, and each agent receives information on its velocity and distances to some of its neighbors. New nonlinear nonhomogeneous decentralized control algorithms are proposed providing agent convergence to the prescribed positions in a fixed time for any initial conditions. The theoretical results are illustrated via computer simulations.