1469 search results - page 82 / 294 » Characterizing the Structural Complexity of Real-World Compl... |
175
click to vote
GECCO
2007
Springer
16 years 10 days ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
159
click to vote
IPTPS
2005
Springer
15 years 11 months ago
2005
Springer
There is an increasing demand for locality-preserving distribution of complex data structures in peer-to-peer systems. Current systems either do not preserve object locality or su...
186
click to vote
TIM
2010
15 years 27 days ago
2010
In the last few years, the growing complexity of the electrical power networks, mainly due to the increased use of electronic converters together with the requirements of a higher ...
225
click to vote
ESANN
2008
15 years 7 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
162
click to vote
CORR
2010
Springer
15 years 6 months ago
2010
Springer
Estimating characteristics of large graphs via sampling is a vital part of the study of complex networks. Current sampling methods such as (independent) random vertex and random w...