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» Local Search Algorithms for SAT: An Empirical Evaluation
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SAGA
2001
Springer
15 years 4 months ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...
CVPR
2010
IEEE
15 years 9 months ago
Aggregating local descriptors into a compact image representation
We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its efficiency, and the memory usag...
Hervé Jégou, Matthijs Douze, Cordelia Schmid and...
UAI
2003
15 years 1 months ago
Systematic vs. Non-systematic Algorithms for Solving the MPE Task
The paper explores the power of two systematic Branch and Bound search algorithms that exploit partition-based heuristics, BBBT (a new algorithm for which the heuristic informatio...
Radu Marinescu 0002, Kalev Kask, Rina Dechter
AAAI
1998
15 years 1 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 5 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...