A Kind of GASA Hybrid Optimization Strategy
一种GASA混合优化策略

Combining the parallel searching structure of genetic algorithm with the probabilistic jumping property of simulated annealing, a kind of GASA hybrid optimization strategy is proposed. Simulation results based on typical TSPs show that the performances of the hybrid strategy are greatly improved than those of simple algorithms and heuristic methods.