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GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 12 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
IJON
2008
109views more  IJON 2008»
15 years 6 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
CP
2010
Springer
15 years 5 months ago
Making Adaptive an Interval Constraint Propagation Algorithm Exploiting Monotonicity
A new interval constraint propagation algorithm, called MOnotonic Hull Consistency (Mohc), has recently been proposed. Mohc exploits monotonicity of functions to better filter var...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu
MMAS
2010
Springer
15 years 1 months ago
A Fast Multigrid Algorithm for Energy Minimization under Planar Density Constraints
The two-dimensional layout optimization problem reinforced by the efficient space utilization demand has a wide spectrum of practical applications. Formulating the problem as a non...
Dorit Ron, Ilya Safro, Achi Brandt
PR
2006
76views more  PR 2006»
15 years 6 months ago
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Dit-Yan Yeung, Hong Chang