Diagnostics based on imaging drive the design of data throughput and archive size.
Otherwise, if the number of points in the archive becomes more than the archive size, elimination method is performed to reduce the number of points to archive size.
If the archive becomes overfull, proposed elimination method is performed to reduce the number of solutions to archive size.
Then, the solution surrounded by the smallest rectangle area is eliminated to increase the uniformity in the archive and meet limit on archive size.
The archive size s is fixed; so, in some moments, the number of non-dominated solutions found can be lower or bigger than s.
For the designed AMOSA, the cooling rate, archive size, initial temperature, final temperature and MCL are set as 0.99, 20, 100,000, 100, and 200, respectively.
If the external archive size is exceeded, a diversity strategy is applied on the set of solutions in order to remove the similar solutions and to maintain wide the exploitation of the search space.
Clustering of the solutions in the archive where the non-dominated solutions obtained so far are stored is employed in AMOSA algorithm in order to explicitly compel the diversity of the non-dominated solutions and keep the archive size under a given upper bound.
23 The two consequences are increase in archive size and availability of telomere-proximal VSG, possibly increasing the pool of telomere-proximal VSG that can interact readily with the expression site (switching) or with each other (recombination-mediated diversification).
Dynamic crowding distance approach is employed to decrease archiving size without losing its characteristics.
