Literature DB >> 21475663

When to use bit-wise neutrality.

Tobias Friedrich1, Frank Neumann.   

Abstract

Representation techniques are important issues when designing successful evolutionary algorithms. Within this field the use of neutrality plays an important role. We examine the use of bit-wise neutrality introduced by Poli and López (2007) from a theoretical point of view and show that this mechanism only enhances mutation-based evolutionary algorithms if not the same number of genotypic bits for each phenotypic bit is used. Using different numbers of genotypic bits for the bits in the phenome we point out by rigorous runtime analyses that it may reduce the optimization time significantly.

Entities:  

Year:  2008        PMID: 21475663      PMCID: PMC3063507          DOI: 10.1007/s11047-008-9106-8

Source DB:  PubMed          Journal:  Nat Comput        ISSN: 1567-7818            Impact factor:   1.690


  5 in total

1.  Codon bias and mutability in HIV sequences.

Authors:  C R Stephens; H Waelbroeck
Journal:  J Mol Evol       Date:  1999-04       Impact factor: 2.395

2.  A rigorous complexity analysis of the (1 + 1) evolutionary algorithm for separable functions with Boolean inputs.

Authors:  S Droste; T Jansen; I Wegener
Journal:  Evol Comput       Date:  1998       Impact factor: 3.277

3.  Exploring phenotype space through neutral evolution.

Authors:  M A Huynen
Journal:  J Mol Evol       Date:  1996-09       Impact factor: 2.395

4.  Evolutionary rate at the molecular level.

Authors:  M Kimura
Journal:  Nature       Date:  1968-02-17       Impact factor: 49.962

5.  Smoothness within ruggedness: the role of neutrality in adaptation.

Authors:  M A Huynen; P F Stadler; W Fontana
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

  5 in total

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