In isotropic Gaussian random field fitness landscapes the expected number of local optima is determined by the correlation of fitness effects, with modularity increasing and locus heterogeneity decreasing the count.
Fisher's geometric model of adaptation meets the functional synthesis: data on pairwise epistasis for fitness yields insights into the shape and size of phenotype space , Volume =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
q-bio.PE 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Epistatic strength, modularity, and locus heterogeneity shape the number of local optima in fitness landscapes
In isotropic Gaussian random field fitness landscapes the expected number of local optima is determined by the correlation of fitness effects, with modularity increasing and locus heterogeneity decreasing the count.