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» Approximations in Distributed Optimization
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ICC
2007
IEEE
203views Communications» more  ICC 2007»
15 years 8 months ago
Distributed Data Aggregation Using Clustered Slepian-Wolf Coding in Wireless Sensor Networks
—Slepian-Wolf coding is a promising distributed source coding technique that can completely remove the data redundancy caused by the spatially correlated observations in wireless...
Pu Wang, Cheng Li, Jun Zheng
110
Voted
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 9 months ago
Multiplicative approximations and the hypervolume indicator
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
Tobias Friedrich, Christian Horoba, Frank Neumann
FOCS
2004
IEEE
15 years 6 months ago
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
We consider a stochastic variant of the NP-hard 0/1 knapsack problem in which item values are deterministic and item sizes are independent random variables with known, arbitrary d...
Brian C. Dean, Michel X. Goemans, Jan Vondrá...
GLOBECOM
2007
IEEE
15 years 8 months ago
Gaussian Approximations for Carrier Sense Modeling in Wireless Ad Hoc Networks
— Physical carrier sense for wireless multihop networks has attracted a certain degree of attention since it is a simple yet important mechanism for distributed channel access. S...
Francesco Rossetto, Michele Zorzi
SAB
2010
Springer
226views Optimization» more  SAB 2010»
15 years 26 days ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...