Document Detail


Revisiting the Restricted Growth Function Genetic Algorithm for Grouping Problems.
MedLine Citation:
PMID:  21492003     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Abstract An overview of the Restricted Growth Function Genetic Algorithm is given. Empirically we show that the algorithm exhibits poor performance and is consistently outperformed on a range of problems by two very basic evolutionary algorithms with blind operators.
Authors:
R Lewis; E Pullin
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-14
Journal Detail:
Title:  Evolutionary computation     Volume:  -     ISSN:  1530-9304     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-4-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9513581     Medline TA:  Evol Comput     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
School of Mathematics, Prifysgol Caerdydd/Cardiff University, Cardiff, CF24 4AG, Wales. lewisR9@cf.ac.uk.
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