====== Applications ======

===== Nuclear criticality safety =====
//NKO participants: C. Chevalier, Y. Richet (IRSN)//

Unconstrained single objective optimization\\
2 variables, 75*75 data points, 40 noise levels


===== Video game data =====
//NKO participant: [[staff:preuss|M. Preuss]]//

=== Test case A ===  
22D highly noisy data from the [[http://cig.ws.dei.polimi.it/?page_id=103|car setup optimization competition]] setting
(see manual concerning used programs and list of parameters), performed with the standard car and bot on track wheel-2
(Suzuka F1).\\
 
The objective function is the -1 * distance travelled in 2000 tics (40 s) divided by 2000 if the damage is at most 100, and the damage else (values up to 10000)
according to recommendations in [[http://www.irf.tu-dortmund.de/cms/de/IT/Mitarbeiterseiten/Dipl_-Inf__Markus_Kemmerling/DA-Kemmerling.pdf|the diploma thesis of Markus Kemmerling (in German)]], see also this paper: 
[[http://dx.doi.org/10.1109/ITW.2010.5593361|Automatic Adaptation to Generated Content Via Car Setup Optimization in TORCS]]

{{:rudolph:kriging:torcsdata.zip}} contains the following files:
| inputs125p.txt  | Sample locations 125 points for 4x125, LHS-distributed) |
| inputs250p.txt  | Sample locations 250 points for 2x250, LHS-distributed) |
| inputs500p.txt  | Sample locations 500 points for 1x500, LHS-distributed) |
| results-125p-1-4.txt  | Results for inputs125p.txt, in a row (1-125,1-125,1-125,1-125) |
| results-250p-1-2.txt  | Results for inputs125p.txt, in a row (1-250,1-250) |
| results-500p.txt  | Results for inputs500p.txt |
| newTorcsValidation2.txt  | Validation data (440 valid points, LHS-distributed) |

Note that if the evaluation of a car was not finished due to damage (exceeding 10000), 
the result value is NA. In the validation set, we removed all cars where this happened.

===== Hydrogeologic Testcase: well placement =====
//NKO participant: C. Bürger//

To be found: Optimal drinking water well locations (xi and yi coordinates) and extraction 
rate(Qi) for a number of wells, ntot, with i = 1,…ntot.

The optimization problem dimension is variable: 3*ntot (ntot between one and five). The noise comes from uncertainties on the underground hydraulic conductivity. The problem has boundary constraints and three non-trivial constraints, which can be taken into account with a penalization technique.

Technical details:

- the application runs in Matlab and calls a couple of batch scripts and Windows executables

- a {{:rudolph:kriging:hydrogeologictestcasenko.pdf|detailed notice}} is provided

- an example of matlab function for optimization with cma-es is provided

- all the files are downloadable here:

{{:rudolph:kriging:realizations1.zip|}} {{:rudolph:kriging:realizations2.zip|}} {{:rudolph:kriging:testcasebasedonerlangensite.zip|}}


===== Plant irigation problem =====
//NKO participant: M. de Paly//

1000 realizations, 15 to 100 variables (irrigation times and amounts)


===== BBOB test case =====
 
(C++ / Java with matlab interface)

===== SPO test case =====
//NKO participant: M. Preuss//

===== Financial test case =====
//NKO participant: Didier Rullière//