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Coalition Structure Generation with GRASP

机译:用GRASP生成联盟结构

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摘要

The coalition structure generation problem represents an active research area in multi-agent systems. A coalition structure is defined as a partition of the agents involved in a system into disjoint coalitions. The problem of finding the optimal coalition structure is NP-complete. In order to find the optimal solution in a combinatorial optimization problem it is theoretically possible to enumerate the solutions and evaluate each. But this approach is infeasible since the number of solutions often grows exponentially with the size of the problem. In this paper we present a greedy adaptive search procedure (GRASP) to efficiently search the space of coalition structures in order to find an optimal one.
机译:联盟结构生成问题代表了多智能体系统中一个活跃的研究领域。联盟结构定义为将系统中涉及的代理划分为不相交的联盟。寻找最佳联盟结构的问题是NP完全的。为了在组合优化问题中找到最优解,从理论上讲,可以列举这些解并对其进行评估。但是,这种方法是不可行的,因为解决方案的数量通常会随着问题的规模呈指数增长。在本文中,我们提出了一种贪婪自适应搜索程序(GRASP),可以有效地搜索联盟结构的空间,以找到最佳的结构。

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