%0 Journal Article %1 stephens:2000:efit %A Stephens, C. R. %A Vargas, J. Mora %D 2000 %J Genetic Programming and Evolvable Machines %K algorithms, breaking effective equations, evolution fitness fitness, genetic genotype-phenotype induced landscape, map, symmetry %N 4 %P 363--378 %R doi:10.1023/A:1010017207202 %T Effective Fitness as an Alternative Paradigm for Evolutionary Computation I: General Formalism %V 1 %X In evolutionary computation the concept of a fitness landscape has played an important role, evolution itself being portrayed as a hill-climbing process on a rugged landscape. In this article we review the recent development of an alternative paradigm for evolution on a fitness landscape-effective fitness. It is shown that in general, in the presence of other genetic operators such as mutation and recombination, hill-climbing is the exception rather than the rule; a discrepancy that has its origin in the different ways in which the concept of fitness appears-as a measure of the number of fit offspring, or as a measure of the probability to reach reproductive age. Effective fitness models the former not the latter and gives 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. Additionally, we will show that when the genotype-phenotype map is degenerate, i.e. there exists a synonym symmetry, it can be used to quantify the degree of symmetry breaking of the map, thus allowing for a quantitative explanation of phenomena such as self-adaptation, bloat and evolutionary robustness.

@article{stephens:2000:efit, abstract = {In evolutionary computation the concept of a fitness landscape has played an important role, evolution itself being portrayed as a hill-climbing process on a rugged landscape. In this article we review the recent development of an alternative paradigm for evolution on a fitness landscape-effective fitness. It is shown that in general, in the presence of other genetic operators such as mutation and recombination, hill-climbing is the exception rather than the rule; a discrepancy that has its origin in the different ways in which the concept of fitness appears-as a measure of the number of fit offspring, or as a measure of the probability to reach reproductive age. Effective fitness models the former not the latter and gives 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. Additionally, we will show that when the genotype-phenotype map is degenerate, i.e. there exists a synonym symmetry, it can be used to quantify the degree of symmetry breaking of the map, thus allowing for a quantitative explanation of phenomena such as self-adaptation, bloat and evolutionary robustness.}, added-at = {2008-06-19T17:46:40.000+0200}, author = {Stephens, C. R. and Vargas, J. Mora}, biburl = {https://www.bibsonomy.org/bibtex/25b3ae820b4347452b99cb0ddc7b48890/brazovayeye}, doi = {doi:10.1023/A:1010017207202}, interhash = {9b530e31880ac3a03c993f26b7655d82}, intrahash = {5b3ae820b4347452b99cb0ddc7b48890}, 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 = {October}, notes = {continued in \cite{stephens:2001:efit} Article ID: 273812}, number = 4, pages = {363--378}, timestamp = {2008-06-19T17:52:17.000+0200}, title = {Effective Fitness as an Alternative Paradigm for Evolutionary Computation {I}: General Formalism}, volume = 1, year = 2000 }