550 search results - page 46 / 110 » Parallel Processing for Multi-objective Optimization in Dyna... |
159
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ECAL
2001
Springer
15 years 9 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
139
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CCGRID
2003
IEEE
15 years 10 months ago
2003
IEEE
High-performance peer-to-peer transfer between clusters will be fundamental technology base for various Grid middleware, such as large-scale data transfer in DataGrid settings, or...
157
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IJPP
2010
15 years 2 months ago
2010
Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-uniform ar...
148
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MANSCI
2007
15 years 4 months ago
2007
In this paper, a market-based decomposition method for decomposable linear systems is developed. The solution process iterates between a master problem that solves the market-matc...
115
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PPSN
2004
Springer
15 years 10 months ago
2004
Springer
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be character...