Task allocation problem is a typical combinatorial optimization problem, also it is a classic problem in computer research area.
任务分配问题是一类典型的组合优化问题，也是计算机研究领域一个经典问题。
As the task allocation problem is a recognized NP-hard problem, constructing effective approximation algorithms ro heuristic algorithms is a research focus.
由于任务分配问题是NP困难问题，构造有效的近似算法或启发式算法是目前研究的热点。
This paper gives a market based formal description on the multi-robot task allocation problem, and discusses the task allocation taxonomy and performance indexes.
通过对任务分配问题分析，建立了一套基于市场机制的多机器人任务分配问题形式化描述方法，讨论了多机器人任务分配的分类及评价指标。
The route prediction for multiple unmanned aerial vehicles (UAVs) task allocation in dynamic battlefield is a complicated path planning problem characterized by multiple paths and real time demands.
战场环境中多无人机任务分配的航路预估是一个具有多路径和实时性双重要求的路径规划问题。
Resource allocation and task scheduling of Grid is an NP-hard problem. Ant algorithm has proved to be a kind of effective algorithm to solve this kind of problems.
网格环境下的资源分配与调度是一个NP难问题，蚂蚁算法是解决这类问题的有效算法。
Resource allocation and task scheduling of Grid is an NP-hard problem. Ant algorithm has proved to be a kind of effective algorithm to solve this kind of problems.
网格环境下的资源分配与调度是一个NP难问题，蚂蚁算法是解决这类问题的有效算法。
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