User:Bigfatcat
Genetic Programming with Robocode
I'm creating a genetic program (GP) to optimise a specified set of Robot functions over a specific number of generations. I've almost completed the GP and I am currently optimising the figures below and others such as mutation and crossover probability.
Number of Generations: 40
Initial Population: 100
Reproduction Rate: 8% per generation
The program evaluates fitness via a three rounded 3v3 battle between the current robot being evaluated and two other default 'house' robots. Robots that have not been mutated and have not experienced crossover with its parents are not re-evaluated.
This is taking a lot of time! Compiling the java files and then running the battles hundreds of times by a factor of #generations and population size is causing the application to take a long time per generation cycle.
If anybody has any idea how to reduce battle run time (threads?) I'd really appreciate it.
I'll edit with updates. Cheers! --Bigfatcat 13:16, 26 April 2011 (UTC)
My Robocode battles are run via my own created BattleRunner class which creates a new BattleEngine and BattleSpecification etc... I was wondering, would my application run any faster by running the BattleRunners as Threads? or would that kill my program and/or computer? --Bigfatcat 20:44, 25 April 2011 (UTC)
