Browsing Machine Learning and Inference Laboratory, College of Health and Human Services by Subject "function optimization"

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The Development of the Inductive Database System VINLEN: A Review of Current Research

Cervone, Guido; Kaufman, Kenneth A.; Michalski, Ryszard S. (2003-06)

The recently introduced Learnable Evolution Model (LEM) represents a form of non-Darwinian evolutionary computation that is guided by a learning system. Specifically, LEM "genetically engineers" new populations via hypothesis ...
The LEM3 Implementation of Learnable Evolution Model and Its Testing on Complex Function Optimization Problems

Wojtusiak, Janusz; Michalski, Ryszard S. (2006-07)

Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new types of operators for creating new individuals, ...
The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization

Wojtusiak, Janusz; Michalski, Ryszard S. (2005-10)

LEM3 is the newest implementation of Learnable Evolution Model (LEM), a non-Darwinian evolutionary computation methodology that employs machine learning to guide evolutionary processes. Due to a deep integration of different ...

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