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CP
2004
Springer
15 years 11 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
CORR
2010
Springer
146views Education» more  CORR 2010»
15 years 6 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
EVOW
2009
Springer
16 years 26 days ago
Swarm Intelligence Inspired Multicast Routing: An Ant Colony Optimization Approach
Abstract. The advancement of network induces great demands on a series of applications such as the multicast routing. This paper firstly makes a brief review on the algorithms in ...
Xiaomin Hu, Jun Zhang, Li-Ming Zhang
IPPS
2003
IEEE
15 years 11 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
IPPS
1996
IEEE
15 years 10 months ago
Self-Timed Resynchronization: A Post-Optimization for Static Multiprocessor Schedules
In a shared-memory multiprocessor system, it is possible that certain synchronization operations are redundant -that is, their corresponding sequencing requirements are enforced c...
Shuvra S. Bhattacharyya, Sundararajan Sriram, Edwa...