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- Multiple task allocation 多任务分配
- Task allocation problem is a typical combinatorial optimization problem. 任务分配问题是一类典型的组合优化问题。
- Juggles multiple task simultaneously being flexible team worker. 能同时进行几项任务,是一个灵活的团队工作者。
- Transactions bind multiple tasks together. 事务将多个任务绑定在一起。
- Task allocation method avoiding crossfire, and opti-mization method of fire allocation and eval uation of amm unition quantity are providedstill. 文中还在系统配置、通信与软件结构等方面提出了改善系统反应速度和可靠性所能采用的措施,还提出了一种避免火力交叉的任务分配方法与火力分配及弹药消耗量的优化算法。
- Each package contains multiple tasks. 每个包包含多项任务。
- Based on this formal description method, a noel market-based wholly distributed multi-robot task allocation method is proposed. 基于这种形式化描述方法,提出了一种采用市场机制的完全分布式的多机器人任务分配方法。
- The competition between all Internet company, its are pair of user task allocation and time constitutionally piece distributive competes. 所有互联网公司之间的竞争,其本质都是对用户任务分配和时间片分配的竞争。
- Supporting/participation (S3) Leaders pass day-to-day decisions, such as task allocation and processes, to the follower. 支持/参与(S3)领导通过日常的决定,例如任务分配及进行。
- Strong capability problem solving and practical hands on solution, capability of multiple task handling. 具有较强的动手能力及善于同时处理多个任务的能力。
- The detailed task allocation formalization was given.The extendibility of the algorithm is strengthened because of the independence among each appraisal target. 并给出了详细的任务分配的形式化表示,各评估指标之间相互独立,增强了算法的可扩展性。
- Engine may be configured for multiple tasks simultaneously. 发动机可被设定为多个任务同时进行。
- Ability to prioritize and direct multiple tasks for all issues. 具备对各种不同任务能分清优先顺序;并有效执行的能力.
- Able to manage multiple tasks, prioritize and meet deadlines. 有效地安排多项工作,能够提前完成各项工作任务。
- Workflow resource management(WFRM) focuses on rule definition of task allocation and distributive operation in operation environment,and transfers the results to proper executive resources. 工作流资源管理关注任务分配规则的定义、运营环境中的分配运算,并将运算结果传递给合适的执行资源。
- The system is a multiple task, multiple attribute, multiple object informati on processing system with uncertainty, which combines qualitative and quantitati ve knowledge. 该系统是一个定性知识与定量知识相结合的多属性、多任务、多目标的不确定性信息处理系统。
- First, a novel balanceable task allocation algorithm is introduced.Compare to market bidding algorithm, it could make the task allocation more balanceable based on reducing whole system's cost. 首先,提出了一种Agent任务平衡分配算法,该算法与竞价拍卖算法相比,在能保证降低整体系统消耗的基础上,能够使Agent之间的任务分配更加平衡;
- Lower runnable count implies that multiple tasks are waiting for a resource. 较低的可运行计数表示有多个任务正在等待资源。
- A reentrant function can be safely called recursively or from multiple tasks. 可再入的函数能被安全地递归调用或由多任务多次调用。
- Extended Hypercube and Its Task Allocation 广义超立方体和它的任务分配问题