We investigate a novel stochastic technique for the global optimization of complex potential energy surfaces (PES) that avoids the freezing problem of simulated annealing by allowing the dynamical process to tunnel energetically inaccessible regions of the PES by way of a dynamically adjusted nonlinear transformation of the original PES. We demonstrate the success of this approach, which is characterized by a single adjustable parameter, for three generic hard minimization problems.
@article{arxiv.physics/9903008,
title = {A Stochastic Tunneling Approach for Global Minimization of Complex Potential Energy Landscapes},
author = {W. Wenzel and K. Hamacher},
journal= {arXiv preprint arXiv:physics/9903008},
year = {2009}
}
Comments
accepted for Publication in Phys. Rev. Lett. 5 pages, 2 figures