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» A Hybrid Approach to Distributed Constraint Satisfaction
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EMO
2009
Springer
174views Optimization» more  EMO 2009»
15 years 4 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
AMC
2007
129views more  AMC 2007»
14 years 9 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
ICSE
2004
IEEE-ACM
15 years 9 months ago
A Hybrid Architectural Style for Distributed Parallel Processing of Generic Data Streams
Immersive, interactive applications grouped under the concept of Immersipresence require on-line processing and mixing of multimedia data streams and structures. One critical issu...
Alexandre R. J. François
SAC
2008
ACM
14 years 9 months ago
Supporting self-organization for hybrid grid resource scheduling
Increasing scale, dynamism, and complexity of hybrid grids make traditional grid resource scheduling approaches difficult. In such grids, where resource volatility and dynamism is...
Deger Cenk Erdil, Michael J. Lewis
IAT
2006
IEEE
15 years 3 months ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler