Literature DB >> 10753230

Information characteristics and the structure of landscapes.

V K Vassilev1, T C Fogarty, J F Miller.   

Abstract

Various techniques for statistical analysis of the structure of fitness landscapes have been proposed. An important feature of these techniques is that they study the ruggedness of landscapes by measuring their correlation characteristics. This paper proposes a new information analysis of fitness landscapes. The underlying idea is to consider a fitness landscape as an ensemble of objects that are related to the fitness of neighboring points. Three information characteristics of the ensemble are defined and studied. They are termed: information content, partial information content, and information stability. The information characteristics of a range of landscapes with known correlation features are analyzed in an attempt to reveal the advantages of the information analysis. We show that the proposed analysis is an appropriate tool for investigating the structure of fitness landscapes.

Mesh:

Year:  2000        PMID: 10753230     DOI: 10.1162/106365600568095

Source DB:  PubMed          Journal:  Evol Comput        ISSN: 1063-6560            Impact factor:   3.277


  3 in total

1.  Tunably Rugged Landscapes With Known Maximum and Minimum.

Authors:  Narine Manukyan; Margaret J Eppstein; Jeffrey S Buzas
Journal:  IEEE Trans Evol Comput       Date:  2015-07-09       Impact factor: 11.554

2.  Ecology shapes epistasis in a genotype-phenotype-fitness map for stick insect colour.

Authors:  Patrik Nosil; Romain Villoutreix; Clarissa F de Carvalho; Jeffrey L Feder; Thomas L Parchman; Zach Gompert
Journal:  Nat Ecol Evol       Date:  2020-09-14       Impact factor: 15.460

3.  Constrained Fitness Landscape Analysis of Capacitated Vehicle Routing Problems.

Authors:  Sebastián Muñoz-Herrera; Karol Suchan
Journal:  Entropy (Basel)       Date:  2021-12-28       Impact factor: 2.524

  3 in total

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