在一定条件下Q学习只 需要采用贪心策略(greedy policy)就可以保证算法的收敛.正是由于这 个原因,尽管Q学习需要提高收敛速度,但它始终被认为是最有效的模
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The protocol leverages a movement strategy based on greedy algorithm and the side reversing technique, so that the Sink node always moves towards areas with large data flow or little remaining energy.
协议采用基于贪心策略的移动决策和边反向技术,Sink总是向数据流量大或剩余能量小的区域移动。
参考来源 - 无线传感器网络分布式数据管理关键技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
并将用蚁群算法得到的结果与基于贪心策略得到的结果进行了比较，效果较好。
At the end of the paper, it proves that the Ant Colony Algorithm is good through comparison it to the greedy method.
算法基于混合模体模型学习，采用贪心策略，通过似然度最大化，逐次将新的模体加入到混合模型中。
Based on mixture motifs model learning through likelihood maximization, a greedy strategy that adds sequentially new motif to a mixture model is employed.
提出了节约原则模型的一个多项式时间的贪心算法以及一种把贪心策略和分支限界策略集合在统一框架下的复合算法。
For the parsimony this paper presents model a polynomial time greedy algorithm and a compound algorithm that combines the greedy policy with the branch-and-bound strategy in a uniform framework.
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