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» Heuristics for Ordering Cue Search in Decision Making
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LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 2 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
CONSTRAINTS
2007
46views more  CONSTRAINTS 2007»
14 years 9 months ago
Local-search Extraction of MUSes
SAT is probably one of the most-studied constraint satisfaction problems. In this paper, a new hybrid technique based on local search is introduced in order to approximate and ext...
Éric Grégoire, Bertrand Mazure, C&ea...
SCAI
2008
14 years 11 months ago
Troubleshooting when Action Costs are Dependent with Application to a Truck Engine
We propose a troubleshooting algorithm that can troubleshoot systems with dependent action costs. When actions are performed they may change the way the system is decomposed and af...
Håkan Warnquist, Mattias Nyberg, Petter S&au...
ISCAS
2003
IEEE
122views Hardware» more  ISCAS 2003»
15 years 3 months ago
Reducing the number of variable movements in exact BDD minimization
Ordered Binary Decision Diagrams (BDDs) are frequently used in logic synthesis. In this paper a new exact BDD minimization algorithm is presented, which is based on state space se...
Rüdiger Ebendt
JUCS
2010
143views more  JUCS 2010»
14 years 8 months ago
Design of Arbiters and Allocators Based on Multi-Terminal BDDs
: Assigning one (more) shared resource(s) to several requesters is a function of arbiters (allocators). This class of decision-making modules can be implemented in a number of ways...
Václav Dvorák, Petr Mikusek