本文提出了一种新型的网格任务分配模型。
本文首先深入分析多无人机任务分配问题的特点，建立了扩展的混合整数线性规划(MILP)任务分配模型。
Firstly, the features of UAV task assignment are analyzed in depth, and then the extended mixed integer linear programming (MILP) model for task assignment is established.
另一个常见的线程模型是为某一类型的任务分配一个后台线程与任务队列。
Another common threading model is to have a single background thread and task queue for tasks of a certain type.
建立了面向供应链的多产品、多订单、多时段的订单任务分配的混合整数线性规划模型。
A mixed integer linear programming (MILP) model for orders dispatching in a supply chain with multi-product, multi-order, and multi-period was proposed.
建立教学任务分配的优化模型，结合遗传算法自适应搜索优化解的特点，给出了其遗传算法实现的方案。
According to the characteristics of adaptability in GA, the optimization model of teaching assignment distribution is made and the scheme is carried out.
提出了一种基于时间片的抢占控制模型，为每个任务分配一个可抢占次数的上限。
A preemption control model based on time slice is therefore proposed to assign every task on upper limit of preemptable frequency.
针对生产协同中图档管理的若干问题提出了图档版本集成模型和任务分配算法。
For some problems of drawings management in collaborative production, the drawing versions integrated model and task assignment algorithm is raised.
通过这个计算模型可从机器利用率，连续工作服务速率，并行任务分配等方面对并行任务完成时间进行预测。
The computing model result in the separation of the influence of machine utilization, sequential job service rate, and parallel task allocation to the parallel task completion time.
依据漏洞检测的要求和实现的特点，构造一个分布式扫描任务调度模型，提出相应的扫描任务分配算法。
Based on the request and character of hole detection technology, this article establishes a distributing scanning task scheduling model, describes a scanning task distributing algorithm.
针对传统协作设计过程中任务分解、任务分配的随意性和盲目性，提出了一种基于对话的多智能体协作交互模型。
Due to the randomness and blindness in the task decomposition and task allocation of the cooperative design, a dialogue-based multi-agent interaction framework was proposed.
通过将资源信用模型嵌入资源调度系统，尽量将任务分配给信用值较好的资源以提高系统的可靠性。
Through embedding the resource credit model into resource managing systems, the resource having the higher credit will receive tasks at a higher rate, and thus the grid system is more reliable.
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。
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.
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