Simulation annealing algorithm with knowledge of imprecision and uncertainty
Chaoyang Liu · 2002
This paper suggests a way for the simulation algorithm (SA) to take advantage of knowledge with imprecision and uncertainty about the optimal solution. The convergence to the global extremum is guaranteed even with erroneous knowledge. Computational results show that the SA integrated with knowledge promise to outperform the convenient SA.