a new mutation operator in genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Purohit:2013:ICTACT,
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title = "a new mutation operator in genetic programming",
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author = "Anuradha Purohit and Narendra S. Choudhari and
Aruna Tiwari",
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journal = "ICTACT Journal on Soft Computing",
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year = "2013",
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month = jan,
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volume = "3",
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number = "2",
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pages = "467--471",
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ISSN = "0976-6561; 2229-6956",
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keywords = "genetic algorithms, genetic programming, bloat,
crossover, elitism, fitness, mutation, reproduction,
computer engineering, computer hardware",
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bibsource = "OAI-PMH server at doaj.org",
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identifier = "0976-6561; 2229-6956",
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language = "EN",
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oai = "oai:doaj.org/article:7e8bb4227fc44aed9a3ab2695e07d348",
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rights = "CC BY-NC-SA",
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URL = "http://ictactjournals.in/ArticleDetails.aspx?id=858",
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URL = "http://ictactjournals.in/paper/IJSC(Jan2013)_Vol3_Iss2_P2_467to471.pdf",
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abstract = "This paper proposes a new type of mutation operator,
FEDS (Fitness, Elitism, Depth, and Size) mutation in
genetic programming. The concept behind the new
mutation operator is inspired from already introduced
FEDS crossover operator to handle the problem of code
bloating. FEDS mutation operates by using local elitism
replacement in combination with depth limit and size of
the trees to reduce bloat with a subsequent improvement
in the performance of trees (program structures). We
have designed a multiclass classifier for some
benchmark datasets to test the performance of proposed
mutation. The results show that when the initial run
uses FEDS crossover and the concluding run uses FEDS
mutation, then not only is the final result
significantly improved but there is reduction in bloat
also.",
- }
Genetic Programming entries for
Anuradha Purohit
Narendra S Choudhari
Aruna Tiwari
Citations