Thread:Talk:WhiteFang/Anti-Surfer Targeting/reply (5)

After Xor said precise intersection I was searching for another meaning in real waves.=)

My fitness function is using the KNNPredictor class in WhiteFang so basically everything is included in the algorithm.

When I actually succeed at making robocode allow more data saving I'll move onto the recursive technic.

"But really, the secret to a good score is good movement." I know but I have been working on movement since 2.2.7.1 and I want to stop my suffering for a while. Maybe genetic algorithm against Simple Targeting strategies and for the flattener?

Edit:

After tuning with three more parameters three things happened:

• I had my AS gun outperformed my Main Gun against Shadow for the first time
• I found out that my GA always maximizes K minimizes Divisor(probably I forgot to activate bot width calculations) and minimizes shots taken.
• Manhattan distance works much better than Squared Euclidean

The random weights started out with 1542 hits.

GA got it to 1923 hits.

I made K 100, Divisor 1 and Decay 0 and hits rose up to 2086.

I used Manhattan distance and it got 2117 hits

Finally when I rolled really high and low values to 10 and 0 it got 2120 hits.