Reduce memory footprint of GP solutions

[mkommend]

When GP experiments (classification & regression) are executed on the HIVE system they take up lots of memory and disk space. This ticket collects changes to reduce the memory consumption.

[mkommend]

r11330: Removed unnecessary name changes event registration for result in DataAnalysisSolutions.

[mkommend]

r11332: Removed grammar objects from GP trees used in symbolic data analysis solutions.

[gkronber]

Reviewed r11330 and r11332. How large is the reduction of memory consumption by setting the grammars to null? I would not have expected that this has a strong effect.

[mkommend]

Replying to gkronber:

How large is the reduction of memory consumption by setting the grammars to null? I would not have expected that this has a strong effect.

I have tested these changes with an experiment containing 12 batchruns à 100 repetitions (1200 runs), which were executed by the Hive and where duplicate problem data objects have been removed. The zipped file size shrinks from ~27 MB to ~17.5 MB, unzipped from ~603 MB to ~297 MB and in memory according to the CLR Profiler from ~320 MB to ~130 MB. A further benefit is that due to the reduction of the unzipped file, the experiment is loaded twice as fast by the persistence.

[mkommend]

r11416: Merged r11330 and r11332 into stable.