Title :
Parallel simulated annealing for the n-queen problem
Author :
Shonkwiler, Ron ; Ghannadian, Farzad ; Alford, Cecil O.
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A parallel simulated annealing method, IIP, is applied to the n-queen problem. By this method, identical multiple copies of the single process algorithm are independently run in parallel. This technique gives superlinear speedup, in some cases on the order of 50 using only 8 processors. Convergence to the solution exceeds 99.96% for as few as 4 processors. In addition, simulated annealing was compared with a constant temperature version of itself since the resulting homogeneous Markov chain is amendable to Perron-Frobenius analysis. The two algorithms perform similarly
Keywords :
games of skill; parallel algorithms; simulated annealing; IIP; Perron-Frobenius analysis; homogeneous Markov chain; n-queen problem; parallel simulated annealing method; superlinear speedup; Analytical models; Cooling; Energy states; Mathematics; Optimization methods; Sampling methods; Simulated annealing; Stochastic processes; Temperature; Thermodynamics;
Conference_Titel :
Parallel Processing Symposium, 1993., Proceedings of Seventh International
Conference_Location :
Newport, CA
Print_ISBN :
0-8186-3442-1
DOI :
10.1109/IPPS.1993.262797