4430 search results - page 409 / 886 » Solving Optimization Problems with DLL |
139
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
146
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
151
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APCSAC
2005
IEEE
15 years 10 months ago
2005
IEEE
Abstract. Power-balanced instruction scheduling for Very Long Instruction Word (VLIW) processors is an optimization problem which requires a good instruction-level power model for ...
171
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CDC
2009
IEEE
15 years 9 months ago
2009
IEEE
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
241
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BTW
2009
Springer
15 years 8 months ago
2009
Springer
: The issue of write-read contention is one of the most prevalent problems when deploying real-time data warehouses. With increasing load, updates are increasingly delayed and prev...