550 search results - page 46 / 110 » Parallel Processing for Multi-objective Optimization in Dyna... |
138
click to vote
ECAL
2001
Springer
15 years 7 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 ...
115
Voted
CCGRID
2003
IEEE
15 years 8 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...
131
Voted
IJPP
2010
14 years 12 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...
125
Voted
MANSCI
2007
15 years 2 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...
91
Voted
PPSN
2004
Springer
15 years 8 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...