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Changes between Initial Version and Version 1 of Ticket #2977, comment 5

initial	v1
1	1	I thought it could be possible to implement an analyzer which takes all individuals form the population and does some processing for similarity calculation (e.g. linearization, simplification) and then produces an data structure that is written back to the population scope by the analyzer. The evaluator can later retrieve this data structure again. In this case it is necessary to manually you need to add (or enable) the analyzer to make the evaluator work but I think this would be ok.
	2
	3	In the first generation we can probably select randomly (if the analyzer has not been executed before the evaluator)