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» Metamodel-Assisted Global Search Using a Probing Technique
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FLAIRS
2007
15 years 2 months ago
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
Diarmuid Grimes, Richard J. Wallace
93
Voted
ECAI
2004
Springer
15 years 5 months ago
Local Search for Heuristic Guidance in Tree Search
Recent work has shown the promise in using local-search “probes” as a basis for directing a backtracking-based refinement search. In this approach, the decision about the next...
Alexander Nareyek, Stephen F. Smith, Christian M. ...
113
Voted
CPHYSICS
2006
204views more  CPHYSICS 2006»
15 years 11 days ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
ICCV
2007
IEEE
16 years 2 months ago
Global Optimization through Searching Rotation Space and Optimal Estimation of the Essential Matrix
This paper extends the set of problems for which a global solution can be found using modern optimization methods. In particular, the method is applied to estimation of the essent...
Richard I. Hartley, Fredrik Kahl
ICTAI
1996
IEEE
15 years 4 months ago
Forward-Tracking: A Technique for Searching Beyond Failure
In many applications, such as decision support, negotiation, planning, scheduling, etc., one needs to express requirements that can only be partially satisfied. In order to expres...
Elena Marchiori, Massimo Marchiori, Joost N. Kok