Global Optimization by Adiabatic Switching
نویسنده
چکیده
We apply a recently introduced method for global optimization to determine the ground state energy and configuration for model metallic clusters. The global minimum for a given N–atom cluster is found by following the damped dynamics of the N particle system on an evolving potential energy surface. In this application, the time dependent interatomic potential interpolates adiabatically between the Lennard–Jones (LJ) and the Sutton–Chen (SC) forms. Starting with an ensemble of initial conditions corresponding to the ground state configuration of the Lennard–Jones cluster, the system asymptotically reaches the ground state of the Sutton–Chen cluster. We describe the method and present results for specific cluster size N = 15, when the ground state symmetry of LJN and SCN differ.
منابع مشابه
Some Aspects on Adiabatic Switching
In adiabatic switching 2] up to now the major focus has been on proving the usefulness of this kind of circuit technology by constructing various kinds of digital systems in full custom design. This is, however, not a desirable way to treat more complex systems. Therefore, it is necessary to provide some systematic design procedure that can be automized and is capable to handle all kinds of log...
متن کاملSWITCHING TEAMS ALGORITHM FOR SIZING OPTIMIZATION OF TRUSS STRUCTURES
Meta-heuristics have received increasing attention in recent years. The present article introduces a novel method in such a class that distinguishes a number of artificial search agents called players within two teams. At each iteration, the active player concerns some other players in both teams to construct its special movements and to get more score. At the end of some iterations (like quart...
متن کاملThe optimization of inlet and outlet port locations of a vented square cavity
In this study, mixed convection heat transfer and local and global entropy generation in aventilated square cavity have been investigated numerically. The natural convection effect isachieved by a constant heat flux imposed at the bottom wall and cooled by injecting a coldfollow. In order to investigate the effect of port location, four different placementconfigurations of the inlet and outlet ...
متن کاملTrajectory Following for the Optimization of a Batch Polymerization Reactor
This paper considers the minimization of batch time for an industrial inverseemulsion polymerization reactor in the presence of uncertainty. A first optimization study resulted in the current industrial practice of a semi-adiabatic profile (isothermal operation followed by an adiabatic one), where the switching time between the two modes of operation is updated to meet the terminal constraint o...
متن کاملTraining a Large Scale Classifier with the Quantum Adiabatic Algorithm
In a previous publication we proposed discrete global optimization as a method to train a strong binary classifier constructed as a thresholded sum over weak classifiers. Our motivation was to cast the training of a classifier into a format amenable to solution by the quantum adiabatic algorithm. Applying adiabatic quantum computing (AQC) promises to yield solutions that are superior to those w...
متن کامل