My project is to optimize wind turbine placement in a given area. In order to do this, I'm using both a wind simulation program (openWind: awsopenwind.org) and the a genetic algorithm code base (Evolving Objects: eodev.sourceforge.net). The process should work like this: openWind will randomly place wind turbines in its simulated environment and I will copy the coordinates of these turbines into the evolving objects program. A wind farm of 20 turbine placements will constitute an individual, and perhaps 500 or 1000 individuals will constitute the population. EO will perform the mutation, crossover, and selection procedures on the population and output the resulting population as a list of coordinate pairs for each individual. I will then transfer (copy and paste unless the process can be easily automated) the coordinates for the wind turbines into openWind, which will calculate how much energy each wind farm can produce. Each production figure will then be transferred into EO as a fitness value for the corresponding wind farm. I'll repeat this process x amount of times unless someone finds an easy way to automate it. The aspects preventing the completion of this process are EO's ability to display population data and to accept fitness values rather than calculate them itself. I'm not sure how to proceed from here.
