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.
Measuring epistasis in fitness landscapes: The correlation of fitness effects of mutations , Volume =
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Simple sign epistasis causes evolutionary detours and occurs far more often than reciprocal sign epistasis in weakly epistatic fitness landscapes.
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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.
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Simple sign epistasis and evolutionary detours in fitness landscapes
Simple sign epistasis causes evolutionary detours and occurs far more often than reciprocal sign epistasis in weakly epistatic fitness landscapes.