算法采用探测包并行地搜索可行路径，并使用启发式函数随机选择下一跳节点。
This algorithm employs probes to search feasible paths in parallel, and USES heuristic functions to randomly select a suitable next node.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下，给出了交通网络设计的双层规划模型，同时设计了基于差分的启发式求解算法。
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path, the author presents bilevel planning model for traffic network design.
针对运输时间不确定的军械紧急调运问题，将运输时间处理为模糊随机变量，建立在任务时间限制期下的最大可能性路径选择模型以确定调运路径。
Aiming at the problem of ordnance urgency transport with uncertain delivery time, the paper deals it with the fuzzy variable and establishes a routing-selected model.
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