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An adaptive approach for the determination of the itinerary of imprecise mobile agents with timing constraints

机译：一种确定时间约束的不精确移动代理行程的自适应方法

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摘要

Algorithms to determine the itinerary of agents are fundamental in the context of distributed applications based on mobile agents with timing requirements. To establish an agent's itinerary it is necessary to consider the trade-offs between achieving high-quality results while meeting firm deadlines. In this paper we describe and evaluate two adaptive heuristics that make a decision about the behavior for an agent at the beginning of its mission. The decision-making about the behavior is based on a log of benefits collected by the mobile agent in past executions. An agent adapts itself at the departure. Once chosen the behavior for a particular mission, the agent keeps this behavior until the end of the mission.
机译：在具有定时要求的基于移动代理的分布式应用程序的上下文中，确定代理程序路线的算法至关重要。要确定代理商的行程，必须考虑在达到高质量结果与满足最终期限之间的权衡。在本文中，我们描述并评估了两种自适应启发式方法，这些启发式方法决定了代理在任务开始时的行为。有关行为的决策是基于移动代理在过去执行中收集的收益日志。代理人在出发时会适应。一旦为特定任务选择了行为，座席将保持此行为直到任务结束。

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