Application of Adaptive Genetic Algorithm in Optimal Scheduling of Aviation Materials

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/jam/volume-2022/1467935/figures/1467935.fig.006a.svgz" name="1467935.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Crossover probability adaptive function curve</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/jam/volume-2022/1467935/figures/1467935.fig.006b.svgz" name="1467935.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Mutation probability adaptive function curve</td></tr></table>

<div>Crossover and genetic operators of the improved NSGA-II genetic algorithm.</div>

Journal of Applied Mathematics

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Figure 6

Figure 6: Application of Adaptive Genetic Algorithm in Optimal Scheduling of Aviation Materials 