Results 261 to 270 of about 49,034 (303)

Quasispecies on Fitness Landscapes

2015
Selection-mutation dynamics is studied as adaptation and neutral drift on abstract fitness landscapes. Various models of fitness landscapes are introduced and analyzed with respect to the stationary mutant distributions adopted by populations upon them. The concept of quasispecies is introduced, and the error threshold phenomenon is analyzed.
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FITNESS LANDSCAPE EPISTASIS AND RECOMBINATION

Advances in Complex Systems, 2015
Homologous recombination is an important operator in the evolution of biological organisms. However, there is still no clear, generally accepted understanding of why it exists and under what circumstances it is useful. In this paper, we consider its utility in the context of an infinite population haploid model with selection and homologous ...
Manuel Beltrán del Río, Christopher R. Stephens, David A. Rosenblueth   +2 more
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Local Landscape Patterns for Fitness Landscape Analysis

2014
Almost all problems targeted by evolutionary computation are black-box or heavily complex, and their fitness landscapes usually are unknown. Selection of the appropriate search algorithm and parameters is a crucial topic when the landscape of a given target problem could be unknown in advance.
Shinichi Shirakawa, Tomoharu Nagao
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Virus Evolution on Fitness Landscapes

2023
The landscape paradigm is revisited in the light of evolution in simple systems. A brief overview of different classes of fitness landscapes is followed by a more detailed discussion of the RNA model, which is currently the only evolutionary model that allows for a comprehensive molecular analysis of a fitness landscape.
Schuster, Peter, Stadler, Peter
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Acclivation of Virtual Fitness Landscapes

The 2019 Conference on Artificial Life, 2019
Any part of a genome, considered separately from the rest of the genome, evolves against a “virtual fitness landscape” that results when the rest of the genome is held constant.
Ben Kovitz, David Bender, Marcela Poffald   +2 more
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Evolution in a rugged fitness landscape

Physical Review A, 1992
A variant of Kauffman's {ital NKC}-model for the coevolution of haploid organisms is shown to have two phases: a {ital frozen} phase in which all species eventually reach local fitness maxima and stop evolving, and a {ital chaotic} phase in which a fraction of all species is at local maxima, while another fraction evolves towards maxima.
, Flyvbjerg, , Lautrup
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On the Impact of the Representation on Fitness Landscapes

2000
In this paper we study the role of program representation on the properties of a type of Genetic Programming (GP) algorithm. In a specific case, which we believe to be generic of standard GP, we show that the way individuals are coded is an essential concept which impacts the fitness landscape.
Paul Albuquerque, Bastien Chopard, Christian Mazza, Marco Tomassini   +3 more
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Measurement of Anisotropy in Fitness Landscapes

2013
In this work we elaborate on the measurement of anisotropy in fitness landscapes by defining an extension over arbitrary base measures. This rather pragmatic method's soundness is justified by statistical argument and tested on several existing and new fitness landscapes.
Erik Pitzer, Michael Affenzeller
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Fitness Landscapes and Evolutionary Algorithms

2000
Evolutionary algorithms (EAs) have been increasingly, and successfully, applied to combinatorial optimization problems. However, EAs are relatively complicated algorithms (compared to local search, for example) and it is not always clear to what extent their behaviour can be explained by the particular set of strategies and parameters used.
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Experiments with Tuneable Fitness Landscapes

2000
Kauffman's N K-landscapes have become a popular tool for investigating properties of heuristic search algorithms. In this paper we carry out some experiments with a more general, but still tuneable, class of landscapes which we call l, θ landscapes. These landscapes are characterized by a parameter θ which allows interactions at all orders, rather than
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