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

机译:利用任务分配和图论算法征服大区域

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摘要

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:多主体编程竞赛旨在激发多主体系统领域的研究。 2012年,来自中国中山大学的团队首次参加了比赛。该团队称为AiWYX,由一名成员组成,该成员刚刚完成大学学习。该系统主要采用三种策略:加强行动前提条件,优化任务分配以及围绕边界较短的较大区域。通过这些策略,我们的团队能够尽早征服大区域,优化协作并确保效率。该系统是用C ++实现的,在本文中,我们将介绍AiWYX的设计和体系结构,并讨论这些策略的算法和实现。

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