A New History-Driven Algorithm to Calculate the Density of States
  We present a new Monte Carlo algorithm applying a history-driven mechanism for the calculation of the density of states for classical statistical models. The new method is as efficient as the Wang-Landau method in sampling through the energy range. With the new method, detailed balance is also naturally satisfied in limit and the estimated density of state converges to the exact value. The new method could be easily evolved into the multicanonical method to achieve high accuracy. 
Shijun Lei
cond-mat.stat-mech