Two routes to adaptive branching

Simulations completed, help accentuate the different paths for branching.  When the most failures occur while waiting for the first mutation to enter first established dimorphism, mutation rate seems limiting (left):

(right) With a higher mutation rate, most collapses back to monomorphism occur after a mutation successfully invades in the dimorphic population. Unfortunately these runs result in large fraction of the ensemble never reaching the final branching, those that do, do so fast:

Note that 1e7 is the max running time.  Running a set of new simulations well outside of the range where some will not complete in the max-time interval of 1e7. (commit, codes and more to specify parameters.)  See flickr collection of today in adaptive dynamics for more, embedded below:

[flickr-gallery mode=“search” tags=“adaptivedynamics” min_upload_date=“2011-01-06 00:00:00” max_upload_date=“2011-01-07 00:00:00”]