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» Ants can solve constraint satisfaction problems
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AAAI
2000
14 years 11 months ago
Asynchronous Search with Aggregations
Many problem-solving tasks can be formalized as constraint satisfaction problems (CSPs). In a multi-agent setting, information about constraints and variables may belong to differ...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...
AAAI
1997
14 years 11 months ago
Effective Redundant Constraints for Online Scheduling
The use of heuristics as a means to improve constraint solver performance has been researched widely. However, most work has been on problem-independentheuristics (e.g., variable ...
Lise Getoor, Greger Ottosson, Markus P. J. Fromher...
AI
1999
Springer
14 years 9 months ago
Bucket Elimination: A Unifying Framework for Reasoning
Bucket elimination is an algorithmic framework that generalizes dynamic programming to accommodate many problem-solving and reasoning tasks. Algorithms such as directional-resolut...
Rina Dechter
60
Voted
CP
2007
Springer
15 years 3 months ago
Solution Directed Backjumping for QCSP
In this paper we present new techniques for improving backtracking based Quantified Constraint Satisfaction Problem (QCSP) solvers. QCSP is a generalization of CSP in which variab...
Fahiem Bacchus, Kostas Stergiou
ICTAI
2008
IEEE
15 years 4 months ago
Finding Good Starting Points for Solving Structured and Unstructured Nonlinear Constrained Optimization Problems
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
Soomin Lee, Benjamin W. Wah