201
edits
Changes
Jump to navigation
Jump to search
Abhijit Brahme (Work Log) (view source)
Revision as of 13:05, 14 November 2017
, 13:05, 14 November 2017no edit summary
<onlyinclude>[[Abhijit Brahme]] [[Work Logs]][[Abhijit Brahme (Work Log) | (log page)]]</onlyinclude>
We figure there must be some error in the monte because the genetic algorithm does not update. <br>
==7/3231/2017==
The value passed into the genetic algorithm is either 0 or .1642. <br>
Here are the values of the key variables that determine the input of the genetic algorithm:
1. mm: either .1111 or .2462
2. M0: always .1111
3. W: always either 1or .0240
4. L: always 9
James seems to think the "trueval" is already set close enough to the optimal. <br>
This seems correct. <br>
==8/1/2017==
I changed trueval to be a larger margin to see if the genetic algorithm changes. <br>
And it didn't do anything. The function value always remains at 0 and the variables retain their values. <br>
We changed the market size, etc and now the function seems to change its values. <br>
==8/2/2017==
Got the function to work and produce a different outcome. <br>
Seems to be a problem with the strip_mkt_resample. <br>
Got a lot of resulting "NaN" values, traced it to stderr. <br>
We changed a value to an outer product in stderr and ran the code. <br>
==8/3/2017==
Here is the output when incorporating the outer product instead. <br>
[[File:monte_using_outer_product.png]]
==8/4/2017==
All the master files will run appropriately with the proper "task". <br>
These files are located here:
1. E:\McNair\Projects\MatchingEntrepsToVC\AdjustedCode
You literally open up the master.m file and press run.
[[Category: Work Log]]
