1105 search results - page 163 / 221 » Optimizing genetic algorithm strategies for evolving network... |
127
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
115
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GECCO
2007
Springer
15 years 8 months ago
2007
Springer
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
161
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SIGMOD
2011
ACM
14 years 4 months ago
2011
ACM
Table partitioning splits a table into smaller parts that can be accessed, stored, and maintained independent of one another. From their traditional use in improving query perform...
134
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HPCC
2007
Springer
15 years 8 months ago
2007
Springer
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
CORR
2004
Springer
15 years 1 months ago
2004
Springer
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...