Mason Archival Repository Service

The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization

Show simple item record

dc.contributor.author Wojtusiak, Janusz en_US
dc.contributor.author Michalski, Ryszard S. en_US
dc.date.accessioned 2006-11-03T18:17:33Z
dc.date.available 2006-11-03T18:17:33Z
dc.date.issued 2005-10 en_US
dc.identifier.citation Wojtusiak, J. and Michalski, R. S., "The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization," Reports of the Machine Learning and Inference Laboratory, MLI 05-2, George Mason University, Fairfax, VA, October, 2005. en_US
dc.identifier.uri http://hdl.handle.net/1920/1494
dc.description.abstract 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 modes of operation and the use of the advanced machine learning system AQ21, the LEM3 system is a highly efficient and effective implementation of the methodology. LEM3 supports different attribute types for describing individuals in the population, such as nominal, rank, structured, interval and ratio, which makes it applicable to a wide range of practical problems. It also implements very efficient methods for switching between different modes of operation and operators controlling the generation of new individuals. This paper describes the underlying LEM3 algorithm, results from LEM3 testing on selected benchmark function optimization problems (with the number of variables varying from 10 to 1000), and its comparison with EA, a conventional, Darwinian-type evolutionary computation program. In every experiment, without exception, LEM3 outperformed EA in terms of the evolution length (the number of fitness evaluations needed to achieved a desired solution), sometimes very significantly. It also outperformed the previous LEM2 implementation. en_US
dc.format.extent 2704 bytes
dc.format.extent 1273642 bytes
dc.format.mimetype text/xml
dc.format.mimetype application/pdf
dc.language.iso en_US en_US
dc.relation.ispartofseries MLI 05-2 en_US
dc.relation.ispartofseries P 05-5 en_US
dc.subject function optimization en_US
dc.subject learnable evolution model en_US
dc.subject Machine learning en_US
dc.subject non-Darwinian evolutionary computation en_US
dc.title The LEM3 System for Non-Darwinian Evolutionary Computation and Its Application to Complex Function Optimization en_US
dc.type Technical report en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics