文件列表:

.idea/
CMakeLists.txt
main.c

# CEA: Evolutionary Algorithm Implemented in C [Demo] A simple EA implemented in the C programming language. The task in this example initalises a population of individuals each with five genes that can be A-Z. We start by initialising a population, iterating on it a preset number of times where the best two are used to breed - in this case two point crossover. Then we add random mutation on each gene with a 0.2 prob. The childs fitness is calculated and added to the population. After the iteration loop the population is printed to screen. The example EA is optimising for the character B and so our fitness is just count of B's. Things that could be improved: - Better selection (and put in a method) - Implementation of other crossovers - Noise based random mutation (broadly seen as better performing) - Many many more things --- This code was just made for fun and to practice C. > Time log: 02:39:00 elapsed.

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