Left Field Eigen Vector IOTA Tip Selection Algorithm

[fmlong1]

Left Field Eigen Vector has an algorithmic performance level comparable to Markov Chain Monte Carlo. I know the latter has been trialled in IOTA and was replcaed by Fast Probabalistic Consensus which itself has been replaced by Uniform Random Tip Selection. Does the group believe there is any benefit in attempting to configue a LFEV solution to IOTA tip selection in place of Markov Chain? If possible I would like to attempt a 'side by side' performance evaluation using the simulator (if it hasn't been done already.) This would give some data to help reinforce decisions. So the next question is...is there a ready made simulator that can take in an assortment of different tip selection algorithms and output performance metrics? The FPC simulator looks interesting but I am not sure if it can be adapted to non FPC algorithms. LFEV -----> vP=λv with λ=1