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FOCS
2009
IEEE
16 years 28 days ago
On Allocating Goods to Maximize Fairness
Given a set A of m agents and a set I of n items, where agent A ∈ A has utility uA,i for item i ∈ I, our goal is to allocate items to agents to maximize fairness. Specificall...
Deeparnab Chakrabarty, Julia Chuzhoy, Sanjeev Khan...
INFOCOM
2008
IEEE
16 years 18 days ago
Distributed Operator Placement and Data Caching in Large-Scale Sensor Networks
Abstract—Recent advances in computer technology and wireless communications have enabled the emergence of stream-based sensor networks. In such sensor networks, real-time data ar...
Lei Ying, Zhen Liu, Donald F. Towsley, Cathy H. Xi...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 11 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
STOC
2004
ACM
134views Algorithms» more  STOC 2004»
16 years 6 months ago
Approximate max-integral-flow/min-multicut theorems
We establish several approximate max-integral-flow / minmulticut theorems. While in general this ratio can be very large, we prove strong approximation ratios in the case where th...
Kenji Obata
INFOCOM
2006
IEEE
16 years 6 days ago
On Heterogeneous Overlay Construction and Random Node Selection in Unstructured P2P Networks
— Unstructured p2p and overlay network applications often require that a random graph be constructed, and that some form of random node selection take place over that graph. A ke...
Vivek Vishnumurthy, Paul Francis