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Multi-objective optimization for dynamic task allocation in a multi-robot system

机译:多机器人系统中动态任务分配的多目标优化

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In this paper, we propose a solution to the Multi-Robot Dynamic Task Allocation problem. We use Multi-Objective optimization in order to estimate, and subsequently, make an offer for its assignment. The motivation is to provide a generic solution, independent of the domain, with an aim to better utilize resources such as time or energy. The algorithm provides a significant degree of flexibility, and can be implemented in a number of diverse domains, provided the modeling of the parameters follows the convention presented. For this, we take into account - besides the distance traveled - the efficiency of a robot in a specific task type. The system has been shown to demonstrate scalability, as the experimental results indicate. It is also capable of responding to changes in the environment.
机译:在本文中,我们提出了多机器人动态任务分配问题的解决方案。我们使用多目标优化来估计,然后为其分配提供报价。动机是提供独立于域的通用解决方案,以更好地利用诸如时间或能量之类的资源。该算法提供了很大程度的灵活性,并且可以按照提出的惯例对参数进行建模,并且可以在许多不同的领域中实现。为此,除行进距离外,我们还要考虑特定任务类型中机器人的效率。如实验结果所示,该系统已显示出可扩展性。它还能够响应环境的变化。

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