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Conquering Large Zones by Exploiting Task Allocation and Graph-Theoretical Algorithms

机译:通过利用任务分配和图形理论算法征服大型区域

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The Multi-Agent Programming Contest is to stimulate research in the area of multi-agent systems. In 2012, for the first time, a team from Sun Yat-sen University, Guangzhou, China, participated in the contest. The team is called AiWYX, and consists of a single member, who has just finished his undergraduate study. The system mainly exploits three strategies: strengthening action preconditions, task allocation optimization, and surrounding larger zones with shorter boundaries. With these strategies, our team is able to conquer large zones as early as possible, optimize collaboration, and ensure efficiency. The system was implemented in C++, and in this paper, we will introduce the design and architecture of AiWYX, and discuss the algorithms and implementations for these strategies.
机译:多代理编程竞赛是刺激多助理系统领域的研究。 2012年,从孙中山大学的一支团队首次参加了比赛。该团队称为AIWYX,包括一个刚刚完成本科学习的单一会员。该系统主要利用三种策略:加强行动前提条件,任务分配优化,以及具有更短边界的较大区域。通过这些策略,我们的团队能够尽早征服大型区域,优化协作,并确保效率。该系统在C ++中实现,并在本文中,我们将介绍AIWYX的设计和架构,并讨论这些策略的算法和实现。

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