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Partial Weighted MaxSAT for Optimal Planning Nathan Robinson† , Charles Gretton‡ , Duc Nghia Pham† , and Abdul Sattar† † ATOMIC Project, Queensland Research Lab, NICTA and Institute for Integrated and Intellige
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Document Date: 2010-09-19 23:27:44
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Company
AMD /
CNF /
Russell /
Strathclyde Planning Group /
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Country
Australia /
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Currency
pence /
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Event
FDA Phase /
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Facility
University of Birmingham Abstract /
Griffith University /
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IndustryTerm
goal utilities /
cost-optimal solution /
breadth-first search /
non-factored forward heuristic search /
valid optimal solutions /
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MarketIndex
IPC /
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Organization
Griffith University /
School of Computer Science /
NICTA /
Institute for Integrated and Intelligent Systems /
University of Birmingham /
Queensland Research Lab /
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Person
Abdul Sattar /
Nathan Robinson /
Ai /
Charles Gretton /
Duc Nghia Pham /
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Position
planner /
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Product
MaxSAT /
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ProvinceOrState
Queensland /
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Technology
RAM /
252 2.6GHz processors /
SAT technology /
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SocialTag
Operations research
Mathematical optimization
Logic in computer science
Job shop scheduling
Boolean satisfiability problem
A* search algorithm
Theoretical computer science
Mathematics
Applied mathematics