An Imperfect Algorithm for Coalition Structure Generation

被引：0
|
作者：
Changder, Narayan [1 ]
Aknine, Samir
Dutta, Animesh
机构：
[1] NIT Durgapur, Dept Comp Sci & Engn, Durgapur, W Bengal, India
来源：
THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2019年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Optimal Coalition Structure Generation (CSG) is a significant research problem that remains difficult to solve. Given n agents, the ODP-IP algorithm (Michalak et al. 2016) achieves the current lowest worst-case time complexity of O(3(n)). We devise an Imperfect Dynamic Programming (ImDP) algorithm for CSG with runtime O(n2(n)). Imperfect algorithm means that there are some contrived inputs for which the algorithm fails to give the optimal result. Experimental results confirmed that ImDP algorithm performance is better for several data distribution, and for some it improves dramatically ODP-IP. For example, given 27 agents, with ImDP for agent-based uniform distribution time gain is 91% (i.e. 49 minutes).
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收藏
页码：9923 / 9924
页数：2
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