Optimization Challenge #2
Late in 2014, we had the 1st "optimization challenge" to see how much an ESPlanner profile could be optimized. The idea is to experiment and learn from each other on how to get more out of ESPlanner and to apply these insights for our own profiles. Given the complexity and power of the software, it is almost a certainty that you can increase your living standard and/or reduce your risk through making different (optimized) choices.
In the last challenge, the Living Standard Per Adult (LSAP) was increased and smoothed significantly with ~$20,000 benefit found per hour of optimizing.
The mechanics are simple. I'll post a database as a starting point that can be downloaded. Experiment with this to come up with the highest and smoothest Living Standard Per Adult. We can also share the methods we used and/or the optimized database.
This is open to all ESPlanner users so please feel free to join in. Last time I learned a few new techniques so it was definitely worthwhile.