In paper I stephens:2000:efit of this series we
reviewed the recent development of an alternative
paradigm for evolution on a fitness landscape effective
fitness which offers an intuitive way to understand
population dynamics as flows on an effective fitness
landscape when genetic operators other than
reproductive selection play an important role. In this
article we demonstrate the utility of the concept using
several simple analytical models and some more complex
models that we simulate numerically. In particular, we
show that effective fitness offers a qualitative and
quantitative framework within which the phenomenon of
induced symmetry breaking of the genotype-phenotype map
may be understood. As explicit examples we consider:
the violation of the building block hypothesis in
non-epistatic landscapes; self-adaptation of genetic
algorithms in time-dependent fitness landscapes and the
appearance of evolutionary robustness as an emergent
property in the evolution of language. In all cases we
demonstrate that effective fitness offers a framework
within which these diverse phenomena can be understood
and in principle quantitatively studied.
%0 Journal Article
%1 stephens:2001:efit
%A Stephens, C. R.
%A Vargas, J. Mora
%D 2001
%J Genetic Programming and Evolvable Machines
%K algorithms, breaking effective equations, evolution fitness fitness, genetic genotype-phenotype induced landscape, map, symmetry
%N 1
%P 7--32
%R doi:10.1023/A:1010066515240
%T Effective Fitness as an Alternative Paradigm for
Evolutionary Computation II: Examples and
Applications
%V 2
%X In paper I stephens:2000:efit of this series we
reviewed the recent development of an alternative
paradigm for evolution on a fitness landscape effective
fitness which offers an intuitive way to understand
population dynamics as flows on an effective fitness
landscape when genetic operators other than
reproductive selection play an important role. In this
article we demonstrate the utility of the concept using
several simple analytical models and some more complex
models that we simulate numerically. In particular, we
show that effective fitness offers a qualitative and
quantitative framework within which the phenomenon of
induced symmetry breaking of the genotype-phenotype map
may be understood. As explicit examples we consider:
the violation of the building block hypothesis in
non-epistatic landscapes; self-adaptation of genetic
algorithms in time-dependent fitness landscapes and the
appearance of evolutionary robustness as an emergent
property in the evolution of language. In all cases we
demonstrate that effective fitness offers a framework
within which these diverse phenomena can be understood
and in principle quantitatively studied.
@article{stephens:2001:efit,
abstract = {In paper I \cite{stephens:2000:efit} of this series we
reviewed the recent development of an alternative
paradigm for evolution on a fitness landscape effective
fitness which offers an intuitive way to understand
population dynamics as flows on an effective fitness
landscape when genetic operators other than
reproductive selection play an important role. In this
article we demonstrate the utility of the concept using
several simple analytical models and some more complex
models that we simulate numerically. In particular, we
show that effective fitness offers a qualitative and
quantitative framework within which the phenomenon of
induced symmetry breaking of the genotype-phenotype map
may be understood. As explicit examples we consider:
the violation of the building block hypothesis in
non-epistatic landscapes; self-adaptation of genetic
algorithms in time-dependent fitness landscapes and the
appearance of evolutionary robustness as an emergent
property in the evolution of language. In all cases we
demonstrate that effective fitness offers a framework
within which these diverse phenomena can be understood
and in principle quantitatively studied.},
added-at = {2008-06-19T17:46:40.000+0200},
author = {Stephens, C. R. and Vargas, J. Mora},
biburl = {https://www.bibsonomy.org/bibtex/279555f4045eda2f36a90f071369053e3/brazovayeye},
doi = {doi:10.1023/A:1010066515240},
interhash = {2be52d0ad1799370b1ad2c5b88bde110},
intrahash = {79555f4045eda2f36a90f071369053e3},
issn = {1389-2576},
journal = {Genetic Programming and Evolvable Machines},
keywords = {algorithms, breaking effective equations, evolution fitness fitness, genetic genotype-phenotype induced landscape, map, symmetry},
month = {March},
notes = {Article ID: 319811},
number = 1,
pages = {7--32},
timestamp = {2008-06-19T17:52:17.000+0200},
title = {Effective Fitness as an Alternative Paradigm for
Evolutionary Computation {II}: Examples and
Applications},
volume = 2,
year = 2001
}