finalization

I think thats it.  I have had fun here at Clemson. I have to add some other little stuff to the presentation and will be working on another paper but I am going home.

plication

... its a word, look it up... So I wanted to write a letter to a friend, but I didn't have a letter, so I wrote the letter and thought i could try to make one. so I did, and It fits the letter really well. Look at the pictures

going from left to right.

line up letter to the center of paper

fold edges over letter

put letter on bottom of paper and fold to make crease. 

open paper and make triangle fold so that the lips above the line are close and the lips below open

fold paper closed with letter inside the closed lips.

close open lips on back side.

fold bottom of paper up over the lips on the backside, a flap should remain

fold flap of paper into pockets.

you have an origami envelop customized for your letter.

This works best if letter is thinner then actual envelop 

inculcation

So I have been using some cool programs like screen and ... um you know how when some one asked you what you do and then you instantaneously forget everything you do *_*... &. Im going to lay out a small description of them and some ways to use them. these are for terminals
Screen-----
allows for a user to have multiple screens in one terminal, and when terminal is closed no program progression is lost.  I all ready did a small description earlier... look for it.

&---
allows for a program to be done in the background.  to use just follow the command up with & and your done.

bg---
sends thing to background

fg -------
brings thing from the background

ctrl+z -------
stops program

git -----
git is like svn... kinda.  its a repository.... not to be confused with respiratory.... git has some follow up programs.
 ---add
 adds file to repository wait list
---help
  shows all the stuff git can do
 ---commit
  ensures stuff in wait list is going to go to repository
 ---clone
 copies repository to local machine
 ---push
  pushes all files on wait list to repository
--pull
 brings new files into local directory


there's others but I used these the most.

documentation

This is sort of a catch up post. On Monday, the paper was being finalized.. fixing all the pictures and sorting to find mistakes.... I had some trouble with compiling that paper with latex. I used a online editor called overleaf, and I was great until the compiler timed out, then I tried a offline compiler that I downloaded... didn't work... I tried another offline program plug in to eclipse... didn't work. Then I tried a different online editor.... nadda . So Dr Remy did some magic and now it compiles nicely.  On Tuesday I asked Peter and another guy who works in the lab...Brandon... to help me clean up my UI. It wasn't to bad. To run it the user needs some sort of background knowledge so I made sure the read-me was up and "nice". Today is going to be some backlog blog posts and two classes to help get around for the GA. they seem small so no biggy. Then at thing at 12 so Ill go. And after that, that's it. Tomorrow I will do a final presentation and be off to El Paso.

teleportation

well more like really fast transportation but... Last night i was able to run 21 runs from clemson to actual utah. It was quit interesting that I was able to run 21 runs back to back. Anyway I was able to chart the data and got some interesting results. these results wont make sense with out context though. The network runs from last week where also charted... those pics should be a bit lower or a post back... Those depicted the best individuals ran from joey to joey and joey to clemson Utah. The hypothosis was that a good individual will be good... in relation to the others of that population... regardless of the topology that the individual is ran on. these new charts which are the same individuals ran in actual Utah support that .... lookee.

 I know you can't see anything. All  the fitness where really bad. The highest fitness was like 730. out of 15000. But take into consideration how hard it is to balance an egg on a spoon, its not that hard, but now make that spoon a couple to hundred miles long and the story is different.  I redid  the chart with so that the highest y value would be 1000 and got a better picture.

these are the same just with different zooms... i guess is the word... But the picture is quite similar to that of the network run and the local run. 

accentuation

...light out... I spent the morning trying to figure out a way to single out the fitnesses of the most fit of the first generation using python. Doing so will answer some questions...like how good can one individual be? or what effect does the topology that the system is run on have on the same individuals.... Because the way my program is set up, so long as no files have been deleted all runs will start off with the same first generation... in one way or another, if the user chooses different seeded rate then the numbers will shift, but for all the experiment all the parameters where the same except for the mutation rate... Because of this all the runs have the exact same first generation. Except for the fitnesses all the logs look like the first generation has been copied and pasted. The program was kinda hard for me. In the end python was smaller, only like 43 lines of code and the first half was just imports. Arrays and indices are a little complex for me to use fluidly right now but im getting there. Anyway I made charts of 2 different typologies and the results are interesting.. to me at least .

Joey to Joey 

Joey to Joey

Joey to Utah

Joey to Utah

The "Joey to Joey" plots show the same trend. the first box... actually both one and two have the same look to them, so does three... There is little difference in either "joey to joey", this make sense because it is the same individuals on the same topology. But in terms of meaning the mean fitness is really close. There are bound to be stragglers but the fitness tends to be the same... or at least in the same area. The trend can be seen when comparing both "Joey to 'Utah'". But when it comes to comparing JTJ... Joey to joey... and JTU... joey to utah... there is a difference. In JTU all the boxes are notably smaller then there correspondents in JTJ, meaning that across the internet the fitness of an individual is more likely to be close to the true fitness.

telecommunication

I've been slacking, so this post will be half friday, the weekend and monday. 

Friday---------------------

I was able to make my program speak to me... 

Whenever the program has more then 10% defaults... like 0.0 or .1928 etc... my program will send me this txt... it can also send emails...

there's still some problems but those are being fixed, for example the user need to input the phone number in a form of an email, and the system cant send the email until it is finished running, but i have some ideas of how to go around that.

Weekend--------------------------------

During the weekend I finished the run with a mutation rate of .15. I dont think i mentioned this.

backtrack ----

there was a problem with the Utah run so the internet run was moved to a closer network that had the same topology of Utah. I ran a set of simulation but in .15 mutation. Then there was the problem of I didn't have a .15 mutation run from joey to joey or a .1 mutation run from joey to "Utah", so that is what was being done.

----

So that was the weekend. just getting runs done and stuff. One point that I am happy about is that with the net catching all the defaults in place I dont have to go over the log files to make sure the run didn't collapse.... less work .. Laziness Prevails.

Monday---------------------

on Monday I  had to finish one last little set of runs and bring the data together. There was an interesting trend. ...Looky

mutation rate 1 joey to joey

mutation rate .1 joey to "Utah"

mutation rate .15 joey to joey

mutation rate .15 joey to "Utah"

both of these charts show that when using the internet as a medium the simulation have a higher amount of good individuals.  One of the papers I read written by Zach McNellis and Dr. Remy suggested that not enough noise and the performance was poor, but enough noise and the performance was good. Like the Goldilocks zone... kinda anyway... Over the internet there is noise, point blank so the program works with that. from joey to joey, if someone runs something then the program freaks out and performance drops.