This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming.
研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题。
Taking class arrangement as an example, we have given a new combinatorial algorithm for multi-task planning under given resources and discussed its implementation with LISP programming language.
以学校排课问题为例讨论了在资源有限的条件下确定多任务分配方案的模型，并给出一种基于组合方法的算法和用Lisp语言数据结构的实现方法。
Taking class arrangement as an example, we have given a new combinatorial algorithm for multi-task planning under given resources and discussed its implementation with LISP programming language.
以学校排课问题为例讨论了在资源有限的条件下确定多任务分配方案的模型，并给出一种基于组合方法的算法和用Lisp语言数据结构的实现方法。
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