wilsonkhor1997
commented
4 years ago If crossover rate equal 0, there is no more Crossover Method will be perform. Hence, there will not perform an outstanding result compare mutation alone. If the mutation rate is smaller than 0.1, Mutation Method also will not be perform in the program. If the number of crossover rate and population size is smaller, the average time required for the GA to find the optimal chromosome will be faster.
https://github.com/wilsonkhor1997/GA-Assignment/issues/4#issue-660680818
aizathakimi97
abraranuar
Jayyijianyi
INSTRUCTION
In this assignment, you will implement a simple genetic algorithm in Java with fitness-proportionate selection (roulette-wheel sampling), population size 20, single-point crossover rate pc = 0.7, and mutation rate pm = 0.001 (using swap and replacement method). Perform 50 runs, and measure the average generation at which the chromosome of all NOT duplicated is discovered. Perform the same experiment with crossover turned off (pc = 0). If it turns out that mutation with crossover is better than mutation alone, why do you think that is the case? Do similar experiments, systematically varying the mutation and crossover rates, and population size, to see how the variations affect the average time required for the GA to find the optimal chromosome.
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