On Fitness Proportionate Selection and the Schema Theorem in the Presence of Stochastic Effects
Created by W.Langdon from
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- @TechReport{Poli00-2,
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author = "Riccardo Poli",
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title = "On Fitness Proportionate Selection and the Schema
Theorem in the Presence of Stochastic Effects",
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institution = "University of Birmingham, School of Computer Science",
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number = "CSRP-00-2",
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month = feb,
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year = "2000",
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keywords = "genetic algorithms, genetic programming",
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email = "R.Poli@cs.bham.ac.uk",
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file = "/2000/CSRP-00-02.ps.gz",
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URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2000/CSRP-00-02.ps.gz",
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abstract = "Holland's schema theorem has been criticised in (Fogel
and Ghozeil 1997, Fogel and Ghozeil 1998, Fogel and
Ghozeil 1999) for not being able to estimate correctly
the expected proportion of a schema in the population
when fitness proportionate selection is used in the
presence of noise or other stochastic effects. This is
incorrect for two reasons. Firstly, the theorem in its
original form is not applicable to this case. As
clarified in the paper, if the quantities involved in
schema theorems are random variables, the theorems must
be interpreted as conditional statements. Secondly, the
conditional versions of Holland and other researchers'
schema theorems are indeed very useful to model the
sampling of schemata in the presence of stochasticity.
In the paper I show how one can calculate the correct
expected proportion of a schema in the presence of
stochastic effects when selection only is present,
using a conditional interpretation of Holland's schema
theorem. In addition, I generalise this result (again
using schema theorems) to the case in which crossover,
mutation, and selection with replacement are used. This
can be considered as an exact schema theorem applicable
both in the presence and in the absence of stochastic
effects.",
- }
Genetic Programming entries for
Riccardo Poli
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