为了衡量模拟退火算法解决静态rwa问题的结果，采用了一种启发性算法作为参考。
To compare the results of simulated anneal algorithm on the static RWA problem, a heuristic algorithm is introduced as reference.
而格状网络中的RWA是个NP -难问题，它不可能在有限的时间内通过穷举搜索来获得其优化解，为此我们设计了一个启发性算法以解决这个问题。
But the RWA in mesh networks is a NP-hard problem which can not be solved optimally with exhaustive search in the endurable time. Hence, we designed a heuristic algorithm to solve it.
提出一种基于密度的启发性群体智能聚类算法。
A new heuristic density-based ant colony clustering algorithm (HDACC) is presented.
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