FigureĀ 6
A line graph showing the evolution of normalized fitness value across genetic algorithm generations.A line graph titled Genetic Algorithm Convergence Behavior. The x-axis represents GA Generation with values ranging from 0 to 5. The y-axis represents Normalized Fitness with values ranging from 0.75 to 1.10. The data points are as follows: at generation 0, the normalized fitness is approximately 0.75; at generation 1, it is approximately 0.80; at generation 2, it peaks at approximately 1.08; at generation 3, it drops to approximately 0.90; at generation 4, it slightly increases to approximately 0.93; and at generation 5, it decreases to approximately 0.80. All values are approximated.

Evolution of the best normalized fitness value across successive genetic algorithm generations during loss weight optimization

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