952 search results - page 114 / 191 » Computational complexity of stochastic programming problems |
114
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CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
103
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IJCAI
2007
15 years 4 months ago
2007
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
261
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ECAI
2010
Springer
15 years 4 months ago
2010
Springer
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
141
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ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
137
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EUROPAR
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. As heterogeneous computing platforms become more prevalent, the programmer must account for complex memory hierarchies in addition to the difficulties of parallel program...