Fitness Landscapes and Inductive Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Slavov:1997:fliGP,
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author = "Vanyo Slavov and Nikolay I. Nikolaev",
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title = "Fitness Landscapes and Inductive Genetic Programming",
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booktitle = "Artificial Neural Nets and Genetic Algorithms:
Proceedings of the International Conference,
ICANNGA97",
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year = "1997",
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editor = "George D. Smith and Nigel C. Steele and
Rudolf F. Albrecht",
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pages = "414--418",
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address = "University of East Anglia, Norwich, UK",
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publisher = "Springer-Verlag",
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note = "published in 1998",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-211-83087-1",
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broken = "http://www.aubg.bg/faculty/cs/nikolaev/papers/icannga97.ps.gz",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/1016/http:zSzzSzwww.aubg.bgzSzfacultyzSznatscizSznikolaevzSzpaperszSzicannga97.pdf/fitness-landscapes-and-inductive.pdf",
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URL = "http://citeseer.ist.psu.edu/nikolaev97inductive.html",
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DOI = "doi:10.1007/978-3-7091-6492-1_91",
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abstract = "This paper proposes a study of the performance of
inductive genetic programming with decision trees. The
investigation concerns the influence of the fitness
function, the genetic mutation operator and the
categorical distribution of the examples in inductive
tasks on the search process. The approach uses
statistical correlations in order to clarify two
aspects: the global and the local search
characteristics of the structure of the fitness
landscape. The work is motivated by the fact that the
structure of the fitness landscape is the only
information which helps to navigate in the search space
of the inductive task. It was found that the analysis
of the landscape structure allows tuning the landscape
and increasing the exploratory power of the operator on
this landscape.",
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notes = "broken Aug 2020
http://www.sys.uea.ac.uk/Research/ResGroups/MAG/ICANNGA97/papers_frame.html
GPDT investigates fitness landscape using mutation as
genetic operator and calculates fitness distance
correlation, fitness autocorrelation and fitness
correlation length for random walks. This analysis
prompts improved choices for system components such as
mutation rate.",
- }
Genetic Programming entries for
Vanio Slavov
Nikolay Nikolaev
Citations