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IADIS
2008
13 years 6 months ago
Towards Mining for Influence in a Multi Agent Environment
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
Robert Logie, Jon G. Hall, Kevin G. Waugh
TEC
2011
134views more  TEC 2011»
13 years 6 days ago
Differential Evolution: A Survey of the State-of-the-Art
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational step...
Swagatam Das, Ponnuthurai Nagaratnam Suganthan
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
13 years 11 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
IMECS
2007
13 years 6 months ago
Knowledge Acquisition from Computer Log Files by ADG with Variable Agent Size
Abstract—We had previously proposed an outstanding evolutionary method, Automatically Defined Groups (ADG), for generating heterogeneous cooperative agents, and then we had deve...
Akira Hara, Yoshiaki Kurosawa, Takumi Ichimura
FPL
2009
Springer
79views Hardware» more  FPL 2009»
13 years 10 months ago
A reconfigurable architecture for the Phylogenetic Likelihood Function
As FPGA devices become larger, more coarse-grain modules coupled with large scale reconfigurable fabric become available, thus enabling new classes of applications to run effici...
Nikolaos Alachiotis, Alexandros Stamatakis, Euripi...