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BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
TALG
2008
97views more  TALG 2008»
15 years 6 months ago
On an infinite family of solvable Hanoi graphs
The Tower of Hanoi problem is generalized by placing pegs on the vertices of a given directed graph G with two distinguished vertices, S and D, and allowing moves only along arcs o...
Dany Azriel, Noam Solomon, Shay Solomon
ASIAMS
2008
IEEE
16 years 1 months ago
A Fuzzy Particle Swarm Approach to Multiobjective Quadratic Assignment Problems
The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possibl...
Mingyan Zhao, Ajith Abraham, Crina Grosan, Hongbo ...
ICML
2009
IEEE
16 years 7 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
141
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STOC
1999
ACM
132views Algorithms» more  STOC 1999»
15 years 10 months ago
A Polynomial Combinatorial Algorithm for Generalized Minimum Cost Flow
We propose the first combinatorial solution to one of the most classic problems in combinatorial optimization: the generalized minimum cost flow problem (flow with losses and g...
Kevin D. Wayne