EvoBot 1

This is a simple bot created via genetic algorithm. I started with a template, and my program slowly adjusted the numbers to create a better warrior-bot. The code below has been edited to increase readability.

>+>---(>)*6(>[+++[-]])*30

I used the other entries in the competition to measure the fitness of the different candidates.

Since this was my first attempt at an evobot, I started with a simple template:

>(+)*n>(-)*n(>)*n(>[(+)*n[-]])*30

I predict that this bot will receive a score in the 50s to 60s range.

I am currently working on a reverse decoy template.

EvoBot 1

This is a simple bot created via genetic algorithm. I started with a template, and my program slowly adjusted the numbers to create a better warrior-bot. The code below has been edited to increase readability.

>+>---(>)*6(>[+++[-]])*30

I used the other entries in the competition to measure the fitness of the different candidates.

Since this was my first attempt at an evobot, I started with a simple template:

>(+)*n>(-)*n(>)*n(>[(+)*n[-]])*30  #template

I predict that this bot will receive a score in the 50s to 60s range.

I am currently working on a reverse decoy template.

EvoBot 2

This is a bot created by the same genetic algorithm, but with the following template:

>>>>(-)*n<(+)*n<(-)*n<(+)*n(>)*8(>[+++[-]])*30  #template

This bot uses the reverse decoy strategy to set 4 decoys of varying height. The resulting bot is:

>>>>(-)*4<(+)*6<(-)*7<(+)*8(>)*8(>[+++[-]])*30

I expect this new bot to fare better than the previous bots, possibly earning a score in the 70s (probably much higher than that since there are many new entries).

EvoBot 1

This is a simple bot created via genetic algorithm. I started with a template, and my program slowly adjusted the numbers to create a better warrior-bot. The code below has been edited to increase readability.

>+>---(>)*6(>[+++[-]])*30

I used the other entries in the competition to measure the fitness of the different candidates.

Since this was my first attempt at an evobot, I started with a simple template:

>(+)*n>(-)*n(>)*n(>[(+)*n[-]])*30

I predict that this bot will receive a score in the 50s to 60s range.

EvoBot 1

This is a simple bot created via genetic algorithm. I started with a template, and my program slowly adjusted the numbers to create a better warrior-bot. The code below has been edited to increase readability.

>+>---(>)*6(>[+++[-]])*30

I used the other entries in the competition to measure the fitness of the different candidates.

Since this was my first attempt at an evobot, I started with a simple template:

>(+)*n>(-)*n(>)*n(>[(+)*n[-]])*30

I predict that this bot will receive a score in the 50s to 60s range.

I am currently working on a reverse decoy template.