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150
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IPPS
2007
IEEE
15 years 8 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
JSAC
2011
100views more  JSAC 2011»
14 years 5 months ago
Scheduling for Optimal Rate Allocation in Ad Hoc Networks With Heterogeneous Delay Constraints
—This paper studies the problem of scheduling in single-hop wireless networks with real-time traffic, where every packet arrival has an associated deadline and a minimum fractio...
Juan José Jaramillo, R. Srikant, Lei Ying
122
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AAAI
1998
15 years 3 months ago
Highest Utility First Search Across Multiple Levels of Stochastic Design
Manydesign problems are solved using multiple levels of abstraction, wherea design at one level has combinatorially manychildren at the next level. A stochastic optimization metho...
Louis I. Steinberg, J. Storrs Hall, Brian D. Davis...
107
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STOC
2009
ACM
120views Algorithms» more  STOC 2009»
16 years 3 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar
108
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SODA
2010
ACM
160views Algorithms» more  SODA 2010»
15 years 12 months ago
Solving Simple Stochastic Tail Games
Stochastic games are a natural model for open reactive processes: one player represents the controller and his opponent represents a hostile environment. The evolution of the syste...
Hugo Gimbert, Florian Horn