Parallel Continuous Simulated Annealing for Global Optimization

In this paper a parallel algorithm for simulated annealing (S.A.) in the continuous case, the Multiple Trials and Adaptive Supplementary Search, MTASS algorithm, is presented. It is based on a combination of multiple trials, local improved searchs and an adaptive cooling schedule. The results in optimizing some standard test problems are compared with a sequential S.A. algorithms and another parallel probabilistic algorithm