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DATAMINE
2010
175views more  DATAMINE 2010»
13 years 9 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
GECCO
2009
Springer
132views Optimization» more  GECCO 2009»
14 years 3 months ago
Bringing evolutionary computation to industrial applications with guide
Evolutionary Computation is an exciting research field with the power to assist researchers in the task of solving hard optimization problems (i.e., problems where the exploitabl...
Luís Da Costa, Marc Schoenauer
CORR
2008
Springer
141views Education» more  CORR 2008»
13 years 9 months ago
Truthful Unsplittable Flow for Large Capacity Networks
The unsplittable flow problem is one of the most extensively studied optimization problems in the field of networking. An instance of it consists of an edge capacitated graph and ...
Yossi Azar, Iftah Gamzu, Shai Gutner
INFOCOM
2010
IEEE
13 years 7 months ago
Reliable Adaptive Multipath Provisioning with Bandwidth and Differential Delay Constraints
Abstract— Robustness and reliability are critical issues in network management. To provide resiliency, a popular protection scheme against network failures is the simultaneous ro...
Weiyi Zhang, Jian Tang, Chonggang Wang, Shanaka de...
GECCO
2009
Springer
175views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving soft robotic locomotion in PhysX
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...