Optimal adaptive performance and delocalization in NK fitness landscapes

DOI10.1016/S0378-4371(01)00572-6zbMath0992.92036arXivphysics/0109020OpenAlexW2090359110WikidataQ57016750 ScholiaQ57016750MaRDI QIDQ5956523

Christoph Adami, Paulo R. A. Campos, Claus O. Wilke

Publication date: 20 February 2002

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/physics/0109020

zbMATH Keywords

evolutionary dynamicserror threshold transitionmutation rates

Mathematics Subject Classification ID

Problems related to evolution (92D15)

Related Items (9)

Error thresholds in a mutation-selection model with Hopfield-type fitness ⋮ Measuring epistasis in fitness landscapes: the correlation of fitness effects of mutations ⋮ Exact results for amplitude spectra of fitness landscapes ⋮ Universality classes of interaction structures for NK fitness landscapes ⋮ Percolation on fitness landscapes: effects of correlation, phenotype, and incompatibilities ⋮ Analysis of adaptive walks on NK fitness landscapes with different interaction schemes ⋮ Evolving complex dynamics in electronic models of genetic networks ⋮ Evolutionary accessibility of modular fitness landscapes ⋮ Evolutionary dynamics of a polymorphic self-replicator population with a finite population size and hyper mutation rate

Uses Software

• avida

Cites Work

• Adaptive evolution on neutral networks
• Evolution in a flat fitness landscape
• Optimizing epochal evolutionary search: population-size independent theory.
• The accumulation of mutations in asexual populations and the structure of genealogical trees in the presence of selection
• Statistical Dynamics of the Royal Road Genetic Algorithm
• Random-energy model: An exactly solvable model of disordered systems
• Error threshold in the evolution of diploid organisms
• Finite-size scaling of the error threshold transition in finite populations
• Error threshold in simple landscapes
• Landscapes: Complex optimization problems and biopolymer structures
• Four-state quantum chain as a model of sequence evolution.
• Unnamed Item

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