Learnable evolution model

The learnable evolution model (LEM) is a novel, non-Darwinian methodology for evolutionary computation that employs machine learning to guide the… (More)
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Topic mentions per year

Topic mentions per year

1999-2011
012319992011

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2008
2008
The learnable evolution model (LEM) is a non-Darwinian evolutionary computation method which applies symbolic machine learning to… (More)
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Review
2007
Review
2007
This report reviews recent research on Learnable Evolution Model (LEM), and presents selected results from its application to the… (More)
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2006
2006
A new method for optimizing complex functions and systems is described that employs learnable evolution model (LEM), a form of… (More)
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2006
2006
Learnable Evolution Model (LEM) is an evolutionary computation methodology that applies hypothesis formulation and instantiation… (More)
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2006
2006
Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide… (More)
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2003
2003
The recently introduced Learnable Evolution Model (LEM) represents a form of non-Darwinian evolutionary computation that is… (More)
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2001
2001
To apply a symbolic learning method to learning in a continuous representation space, the variables spanning the space need to be… (More)
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Highly Cited
2000
Highly Cited
2000
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian… (More)
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2000
2000
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing… (More)
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1999
1999
This paper describes an application of the Learnable Evolution Model (LEM) to a digital signal filter parameter identification… (More)
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