单任务Agent联盟的贪心算法求解

Jianguo Jiang, Yong Li, N. Xia
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引用次数: 0

摘要

联盟是多智能体系统中一种重要的协作方式。寻找最优的、面向任务的Agent联盟是一个复杂的组合优化问题。由于目前该问题还没有采用贪心算法,因此提出了贪心算法。贪婪准则是:一个代理给联盟带来的能力越大,成本越小,则该代理越好。研究了贪心准则的两种表达式。对比实验结果表明,该算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Greedy Algorithm Solution to Agent Coalition for Single Task
Coalition is an important cooperative method in multi-agent system (MAS). It is a complicated combinatorial optimization problem to search for the optimal, task-oriented Agent coalition. A greedy algorithm is presented since no greedy algorithms have been adopted in this problem so far. The greedy criterion is that the more ability and the less cost brought to a coalition by an agent, the better the agent is. Two expressions of the greedy criterion have been studied. The results of contrastive experiments show that this algorithm is effective.
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