DagSemProc.10361.2.pdf
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2-bit Flip Mutation Elementary Fitness Landscapes
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Dagstuhl Seminar Proceedings, Volume 10361
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2010-11-24
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William Langdon. 2-bit Flip Mutation Elementary Fitness Landscapes. In Theory of Evolutionary Algorithms. Dagstuhl Seminar Proceedings, Volume 10361, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)
https://doi.org/10.4230/DagSemProc.10361.2
Abstract
Genetic Programming parity is not elementary. GP parity cannot be represented as the sum of a small number of elementary landscapes. Statistics, including fitness distance correlation, of Parity's fitness landscape are calculated. Using Walsh analysis the eigen values and eigenvectors of the Laplacian of the two bit flip fitness landscape are given and a ruggedness measure for elementary landscapes is proposed. An elementary needle in a haystack (NIH) landscape is given.
Subject Classification
Keywords
- Genetic Algorithms
- Genetic Programming
- search
- optimisation
- graph theory
- Laplacian
- Hamming cube
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