A multilevel evolutionary algorithm for optimizing numerical functions

This is a study on the effects of multilevel selection (MLS) theory in optimizing numerical functions. Based on this theory, a Multilevel Evolutionary Optimization algorithm (MLEO) is presented. In MLEO, a species is subdivided in cooperative populations and then each population is subdivided in gro...

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Bibliographic Details
Main Authors: Reza Akbari, Koorush Ziarati
Format: Article
Language:English
Published: Growing Science 2011-04-01
Series:International Journal of Industrial Engineering Computations
Subjects:
Online Access:http://www.growingscience.com/ijiec/Vol2/IJIEC_2010_11.pdf