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CP
2005
Springer
15 years 12 months ago
Solving Simple Planning Problems with More Inference and No Search
Many problems used in AI planning including Blocks, Logistics, Gripper, Satellite, and others lack the interactions that characterize puzzles and can be solved nonoptimally in low...
Vincent Vidal, Hector Geffner
ECAI
2000
Springer
15 years 10 months ago
Search Pruning Conditions for Boolean Optimization
This paper proposes new algorithms for the Binate Covering Problem (BCP), a well-known restriction of Boolean Optimization. Binate Covering finds application in many areas of Com...
Vasco M. Manquinho, João P. Marques Silva
CEC
2007
IEEE
15 years 10 months ago
Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search
Abstract-- Shotgun sequencing is the state-of-the-art to decode genome sequence. However this technique needs a lot of fragments. Combining those fragments correctly requires enorm...
Satoko Kikuchi, Goutam Chakraborty
VLDB
1997
ACM
170views Database» more  VLDB 1997»
15 years 10 months ago
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
Paolo Ciaccia, Marco Patella, Pavel Zezula
IJCAI
2007
15 years 7 months ago
A Heuristic Search Approach to Planning with Temporally Extended Preferences
In this paper we propose a suite of techniques for planning with temporally extended preferences (TEPs). To this end, we propose a method for compiling TEP planning problems into ...
Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlrait...