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» An Algorithm to Solve a Linear Program
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STOC
2004
ACM
150views Algorithms» more  STOC 2004»
16 years 6 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
ASPDAC
2008
ACM
145views Hardware» more  ASPDAC 2008»
15 years 8 months ago
Mixed integer linear programming-based optimal topology synthesis of cascaded crossbar switches
- We present a topology synthesis method for high performance System-on-Chip (SoC) design. Our method provides an optimal topology of on-chip communication network for the given ba...
Minje Jun, Sungjoo Yoo, Eui-Young Chung
CP
2009
Springer
16 years 7 months ago
Confidence-Based Work Stealing in Parallel Constraint Programming
The most popular architecture for parallel search is work stealing: threads that have run out of work (nodes to be searched) steal from threads that still have work. Work stealing ...
Geoffrey Chu, Christian Schulte, Peter J. Stuckey
SODA
2012
ACM
218views Algorithms» more  SODA 2012»
13 years 8 months ago
Linear kernels for (connected) dominating set on H-minor-free graphs
We give the first linear kernels for DOMINATING SET and CONNECTED DOMINATING SET problems on graphs excluding a fixed graph H as a minor. In other words, we give polynomial time...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, ...
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
16 years 25 days ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria