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» Approximations in Distributed Optimization
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GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 11 months ago
Ant Colony Programming for Approximation Problems
Abstract. A method of automatic programming, called genetic programming, assumes that the desired program is found by using a genetic algorithm. We propose an idea of ant colony pr...
Mariusz Boryczka, Zbigniew J. Czech, Wojciech Wiec...
ATAL
2008
Springer
15 years 8 months ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis
ICASSP
2008
IEEE
16 years 1 months ago
Belief propagation distributed estimation in sensor networks: An optimized energy accuracy tradeoff
The estimation error performance of Gaussian belief propagation based distributed estimation in a large sensor network employing random sleep strategies is explicitly evaluated fo...
John MacLaren Walsh, Phillip A. Regalia
SECON
2008
IEEE
16 years 29 days ago
On Distributed Optimization Using Peer-to-Peer Communications in Wireless Sensor Networks
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
Björn Johansson, Cesare M. Carretti, Mikael J...
EUROCRYPT
2004
Springer
15 years 12 months ago
Optimal Communication Complexity of Generic Multicast Key Distribution
We prove a tight lower bound for generic protocols for secure multicast key distribution where the messages sent by the group manager for rekeying the group are obtained by arbitra...
Daniele Micciancio, Saurabh Panjwani