monotonic evolutionary simulation algorithm
MESA: A Brief Description
MESA models evolutionary
searches that employ monotonic smooth fitness gradients. It presupposes
a fitness landscape that converges gradually to a single optimum
(peak or valley) and asks how quickly evolution can locate the optimum
when fitness is randomly perturbed and/or when variables are coupled.
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