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» New interval methods for constrained global optimization
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164
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ISNN
2010
Springer
15 years 2 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
16 years 3 months ago
Containment Join Size Estimation: Models and Methods
Recent years witnessed an increasing interest in researches in XML, partly due to the fact that XML has now become the de facto standard for data interchange over the internet. A ...
Wei Wang 0011, Haifeng Jiang, Hongjun Lu, Jeffrey ...
125
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ISCAS
1994
IEEE
131views Hardware» more  ISCAS 1994»
15 years 8 months ago
An Efficient Design Method for Optimal Weighted Median Filtering
Earlier research has shown that the problem of optimal weighted median filtering with structural constraints can be formulated as a nonconvex nonlinear programming problem in gene...
Ruikang Yang, Moncef Gabbouj, Yrjö Neuvo
150
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MP
2006
138views more  MP 2006»
15 years 3 months ago
A new ILP-based refinement heuristic for Vehicle Routing Problems
In the paper we address the Distance-Constrained Capacitated Vehicle Routing Problem (DCVRP), where k minimum-cost routes through a central depot have to be constructed so as to co...
Roberto De Franceschi, Matteo Fischetti, Paolo Tot...
148
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CORR
2007
Springer
167views Education» more  CORR 2007»
15 years 3 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...