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PPSN
2000
Springer
15 years 9 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity
LCPC
2005
Springer
15 years 11 months ago
A Systematic Approach to Model-Guided Empirical Search for Memory Hierarchy Optimization
The goal of this work is a systematic approach to compiler optimization for simultaneously optimizing across multiple levels of the memory hierarchy. Our approach combines compiler...
Chun Chen, Jacqueline Chame, Mary W. Hall, Kristin...
AI
2008
Springer
15 years 6 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
AIPS
2006
15 years 7 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
SCHEDULING
2010
104views more  SCHEDULING 2010»
15 years 25 days ago
A fluid approach to large volume job shop scheduling
We consider large volume job shop scheduling problems, in which there is a fixed number of machines, a bounded number of activities per job, and a large number of jobs. In large v...
Yoni Nazarathy, Gideon Weiss