blob_evolutionary_algorithm
A small evolutionary algorithm adjusting the form and behaviour of blobs.
Inspiration
I just wanted to play with an evolutionary algorithm. This is not usefull in any way. The evolutionary alorithm works continious and doesnt use generations. The time a blob is alive as well as the health of the blob increases the change for reproduction.
Blob
The blob is the subject of this evolutionary algorithm and is specified by two genoms, the size and the health_threshold. The size specifies the speed, the costs while moving and the costs for resting. Costs in this context means the health_decrease per second. The moving costs increases while the rest costs decreases exponentially for larger sizes. Blobs can only eat food pieces smaller than their selfe and or only seeking for eatable food pieces. Blobs starts to seek new food if the health drops below the health threshold.
Food
The food is dropped randomly across the screen. The frequence of food dropps is controlled with a pygame timer from main.py throwing a FEED_EVENT. Default is a 150ms delay between every food drop.
Graphics
The graphical output is realized with pygame using primitivs and DejaVuSansMono.
