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» Techniques and tools for dynamic optimization
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ICML
2009
IEEE
16 years 7 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
DDECS
2008
IEEE
137views Hardware» more  DDECS 2008»
16 years 1 months ago
Cluster-based Simulated Annealing for Mapping Cores onto 2D Mesh Networks on Chip
Abstract—In Network-on-Chip (NoC) application design, coreto-node mapping is an important but intractable optimization problem. In the paper, we use simulated annealing to tackle...
Zhonghai Lu, Lei Xia, Axel Jantsch
JVA
2006
IEEE
16 years 17 days ago
Simulated Annealing for Grid Scheduling Problem
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
Stefka Fidanova
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 2 days ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
ISLPED
2004
ACM
123views Hardware» more  ISLPED 2004»
16 years 3 hour ago
Improved clock-gating through transparent pipelining
This paper re-examines the well established clocking principles of pipelines. It is observed that clock gating techniques that have long been assumed optimal in reality produce a ...
Hans M. Jacobson