这种算法结合了启发式算法和随机化算法以及局部寻优的思想。
The proposed algorithm incorporates the thoughts of heuristic algorithm, randomized algorithm and local optimization.
算法引入模拟退火机制，在遗传进化过程中的每一代，对最优个体进行邻域局部寻优，利用模拟退火进一步改善算法的收敛性能。
Simulated annealing mechanism is introduced to do local-search for the best chromosome in every generation of the evolution process. This improves the convergence of the algorithm.
该优化算法具有混沌优化的全局搜索能力，而模式搜索法则加快了局部寻优性能。
The proposed hybrid algorithm had the global search ability of chaotic search as well as local search ability of pattern search method.
应用推荐