Another Parameter Optimizing Result

This was a quite long running breeding session. You can see that relatively early (about 200 generations) the maximum fitness exeeded 10000. That means there where individuals could defeat the eference controller. This is a good result, but from that time on no further progress could be measured.
I do interprete that result in the way that winning a game must have been by chance. Further investigation in that direction will follow.

The beginning of that session.

Sumosim in Action
To see what is the behaviour of the best breeded robots click on one of the following links.
The breeded robot is the violet one.
- Generation 310 webstart...
- Generation 1741 webstart...

First Results of the Parameter Optimizing GA

What does that mean? You see the fitness of a whole population of 50 individuals for diffrerent generations (about 180). The red line is the average fitness of all individuals, blue shows the worst - and green the best fitness.

How is fitness defined? Each individual has to play ten times against a rather good fuzzy controlled robot. You can see two of these robots in action here.... If the tested controller looses it gets 900 points, if the game is undescided it gets 1000 points and if it wins it gets 1100 points. The results of the ten games gets added. Aditionally to the points there is a bonus for the duration of the game. If the robot looses, but the game lasts long it gets a relative high bonus. If the robot is the winner it gets a bonus for short duration of the game. So the fittest is if it wins in short time.
A fitness of 9000 means that the tested robot looses always in very short time. After about 100 generations the max fitness gets values that are sometimes 9800. That means there was one robot that could avoid to be kicked off the arena for quite a long time.
Hopefully the max value will exceed 10000. That would mean there were robots that could defeat the testrobot.

Sumosim in action

To see how sumosim works visit the following link: http://entelijan.net/sumo-sim.
Click one of the numbers below examples to start a simulation inside a java applet