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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
14 years 10 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
TSMC
2002
156views more  TSMC 2002»
14 years 9 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
89
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SAC
2006
ACM
15 years 3 months ago
On the architectural alignment of ATL and QVT
Transforming models is a critical activity in Model Driven Engineering (MDE). With the expected adoption of the OMG QVT standard for model transformation language it is anticipate...
Frédéric Jouault, Ivan Kurtev
ATAL
2003
Springer
15 years 2 months ago
Optimizing information exchange in cooperative multi-agent systems
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
Claudia V. Goldman, Shlomo Zilberstein
LACL
2001
Springer
15 years 2 months ago
Structural Equations in Language Learning
In categorial systems with a fixed structural component, the learning problem comes down to finding the solution for a set of typeassignment equations. A hard-wired structural co...
Michael Moortgat