免疫算法是一种新型的随机启发式搜索算法。
Immune algorithm is a stochastic heuristic optimization algorithm.
文中提出了一个随机启发式搜索算法，它能够有效地抑制噪声，从而连接到连续的边缘。
We propose a stochastic heuristic search algorithm that can suppress the noise, thus linking edge points effectively to form a continuous edge.
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.
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.
该算法利用问题的邻域知识指导局部搜索，可克服元启发式算法随机性引起的盲目搜索。
The proposed algorithm utilizes neighborhood knowledge to direct its local search procedure which can overcome the blindness or randomness introduced by meta-heuristics.
在一定的假设下，可以把启发式搜索看作一种随机取样的过程，从而可以把统计推断方法引进搜索。
Under certain hypothesis a heuristic search can be considered as a random sampling process. Thus, it is possible to transfer the statistical inference method to the heuristic search.
在一定的假设下，可以把启发式搜索看作一种随机取样的过程，从而可以把统计推断方法引进搜索。
Under certain hypothesis a heuristic search can be considered as a random sampling process. Thus, it is possible to transfer the statistical inference method to the heuristic search.
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