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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 10 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
EVOW
2008
Springer
13 years 9 months ago
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem
Abstract. The genomic median problem is an optimization problem inspired by a biological issue: it aims at finding the chromosome organization of the common ancestor to multiple li...
Renaud Lenne, Christine Solnon, Thomas Stützl...
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
13 years 2 months ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 2 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
CPM
1999
Springer
92views Combinatorics» more  CPM 1999»
14 years 6 days ago
Physical Mapping with Repeated Probes: The Hypergraph Superstring Problem
We focus on the combinatorial analysis of physical mapping with repeated probes. We present computational complexity results, and we describe and analyze an algorithmic strategy. W...
Serafim Batzoglou, Sorin Istrail