Cuby56

Genetic Algorithms Note :

#0. Initialized

　　　　To produce idividual ( chromosome ) into population pool.

#1. Crossover

　　　　Coding and Decoding chromosome, eg. AABB & CCDD -> AADD & CCBB.

　　　　To do a little change around the parents's chromosome, helpful to find optimal solution.

#2. Mutation ( Probability of mutation ~0.1% )

　　　　To do a big change to jump out of local optimal solution.

#3. Sorting ( Competition, Selection )

　　　　To find the best one in this iteration.  ( By compare Fitness Function )

　　Loop #1