Three Approaches to Solve the Petrobras Challenge Exploiting Planning Techniques for Solving Real-Life Logistics Problems

被引:4
|
作者
Toropila, Daniel [1 ]
Dvorak, Filip [1 ]
Trunda, Otakar [1 ]
Hanes, Martin [1 ]
Bartak, Roman [1 ]
机构
[1] Charles Univ Prague, Ctr Comp Sci, Prague, Czech Republic
关键词
classical planning; temporal planning; domain modeling; randomized tree search; logistics domain;
D O I
10.1109/ICTAI.2012.34
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Petrobras domain is an abstraction of a real-life problem of resource-efficient transportation of goods from ports to petroleum platforms. Being a good example of a difficult problem standing on the borderline between planning and scheduling, this domain was proposed as a challenge problem at the International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS 2012). In this paper we describe three different ways of modeling and solving this domain: by utilizing classical planning, temporal planning, and finally, single-player games and Monte-Carlo Tree Search.
引用
收藏
页码:191 / 198
页数:8
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