Initial Population: Generation 1: Generation 2: Lab Genetic Algorithms Instructions Creating the Initial Population: The initial...
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Initial Population: Generation 1: Generation 2: Lab Genetic Algorithms Instructions Creating the Initial Population: The initial population was created using a random bit string generator. This step is already done. Step1: Fitness function: Assign each chromosome a fitness score. For example the number of black genes Step2 Selection: Elitist Selection of 4 chromosomes to be in the mating pool Step3: Create the new generation using Crossover of parents. Use 3-point crossover, evenly-spaced Repeat for Second Generation For each generation, write the best and the average fitness score. Initial Population: Generation 1: Generation 2: Lab Genetic Algorithms Instructions Creating the Initial Population: The initial population was created using a random bit string generator. This step is already done. Step1: Fitness function: Assign each chromosome a fitness score. For example the number of black genes Step2 Selection: Elitist Selection of 4 chromosomes to be in the mating pool Step3: Create the new generation using Crossover of parents. Use 3-point crossover, evenly-spaced Repeat for Second Generation For each generation, write the best and the average fitness score.
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