再建立局部随机策略来计算堵塞时间，并应用排队论方法计算堵塞次数和平均堵塞时间。
Then, local stochastic strategy modeled to calculate interfering time. In addition, let queue to compute times of interference and average interfering time.
构造了新的邻域结构，采用了部分随机跳坑策略，对此问题提出了新的局部搜索算法。
Using a new neighborhood structure and partly randomized off-trap strategy, a novel local search algorithm for protein structure prediction is proposed.
启发式随机搜索策略和局部优化算法相结合的求解方案是解决复杂函数优化的有效途径。
Combining a heuristic random searching strategy with local optimal algorithms is effective solution for complex optimization problem.
通过对信息素更新策略、局部搜索算法、随机选择概率三个方面的改进，提高算法的全局最优搜索能力和收敛性。
Based on the pheromone updating strategy, local search algorithm, the probability of randomly selected three areas to improve, improve the algorithm's global search ability and convergence of optimal.
通过对信息素更新策略、局部搜索算法、随机选择概率三个方面的改进，提高算法的全局最优搜索能力和收敛性。
Based on the pheromone updating strategy, local search algorithm, the probability of randomly selected three areas to improve, improve the algorithm's global search ability and convergence of optimal.
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