介绍了该模型的特点、关键节点、状态转移规则,并举例说明。
It also introduces the characteristics, key nodes and state shift rule of this model, and then USES examples to illustrate.
在基本蚁群算法的基础上,用确定性选择与随机性选择相结合的方法对节点的状态转移规则进行改进。
Grid method was applied to establish an environment model. The conversion rule of node state was improved by combining decided selection with random selection.
论文同时对蚁群优化中的启发式信息给出了合理定义,并设计了相应的状态转移规则和信息素更新规则;
This dissertation defines the heuristic information in ACO properly and designs the corresponding ACO's state transition rule and pheromone updating rule.
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