Abstract
This key note considers fitness landscapes and their use for understanding evolutionary dynamics in natural and artificial biological systems. Landscape paradigms are meanwhile ubiquitous in several branches of science. This introductory overview discusses concepts, issues and application with a main focus on evolutionary biology and evolutionary computation.
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References
Frauenfelder, H., Leeson, D.T.: The energy landscape in non–biological and biological molecules. Nature Structural Biology 5, 757–759 (1998)
Kauffman, S.A., Levin, S.: Towards a general theory of adaptive walks on rugged landscapes. J. Theor. Biology 128, 11–45 (1987)
Kauffman, S.A.: The Origin of Order: Self–Organization and Selection in Evolution. Oxford University Press, New York (1993)
Kallel, L., Naudts, B., Reeves, C.R.: Properties of fitness functions and search landscapes. In: Kallel, L., Naudts, B., Rogers, A. (eds.) Theoretical Aspects of Evolutionary Computing, pp. 177–208. Springer, Heidelberg (2001)
Lobkovsky, A.E., Wolf, Y.I., Koonin, E.V.: Predictability of evolutionary trajectories in fitness landscapes. PLoS Comput. Biol. 7(12), e1002302 (2011), doi:10.1371/journal.pcbi.1002302
McCandlish, D.M.: Visualizing fitness landscapes. Evolution 65, 1544–1558 (2011)
Poelwijk, F.J., Kiviet, D.J., Weinreich, D.M., Tans, S.J.: Empirical fitness landscapes reveal accessible evolutionary paths. Nature 445, 383–386 (2007)
Richter, H.: Coupled map lattices as spatio–temporal fitness functions: Landscape measures and evolutionary optimization. Physica D237, 167–186 (2008)
Richter, H.: Evolutionary Optimization and Dynamic Fitness Landscapes: From Reaction-Diffusion Systems to Chaotic CML. In: Zelinka, I., Celikovsky, S., Richter, H., Chen, G. (eds.) Evolutionary Algorithms and Chaotic Systems. SCI, vol. 267, pp. 409–446. Springer, Heidelberg (2010)
Sherrington, D.: Landscape paradigms in physics and biology: Introduction and Overview. Phys. D 107, 117–121 (1997)
Smith, T., Husbands, P., Layzell, P., O’Shea, M.: Fitness landscapes and evolvability. Evolut. Comput. 10, 1–34 (2002)
Stadler, P.F.: Landscapes and their correlation functions. J. Math. Chem. 20, 1–45 (1996)
Stadler, P.F., Stephens, C.R.: Landscapes and effective fitness. Comm. Theor. Biol. 8, 389–431 (2003)
Vassilev, V.K., Fogarty, T.C., Miller, J.F.: Information characteristics and the structure of landscapes. Evolut. Comput. 8, 31–60 (2000)
Weinreich, D.M., Watson, R.A., Chao, L.: Sign epistasis and constraint on evolutionary trajectories. Evolution 59, 1165–1174 (2005)
Wiles, J., Tonkes, B.: Hyperspace geography: Visualizing fitness landscapes beyond 4D. Artificial Life 12, 211–216 (2006)
Wright, S.: The roles of mutation, inbreeding, crossbreeding and selection in evolution. In: Jones, D.F. (ed.) Proc. of the Sixth International Congress on Genetics, pp. 356–366 (1932)
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Richter, H. (2013). Fitness Landscapes and Evolutionary Dynamics. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_2
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