Abstract
We investigate a novel stochastic technique for the global optimization of complex potential energy surfaces that avoids the freezing problem of simulated annealing by allowing the dynamical process to tunnel energetically inaccessible regions of the potential energy surfaces by way of a dynamically adjusted nonlinear transformation of the original potential energy surfaces. We demonstrate the success of this approach, which is characterized by a single adjustable parameter, for three generic hard minimization problems.
- Received 2 November 1998
DOI:https://doi.org/10.1103/PhysRevLett.82.3003
©1999 American Physical Society