Research Article
AI-Driven Multiobjective Scheduling Algorithm of Flood Control Materials Based on Pareto Artificial Bee Colony
Table 1
Simulation parameter table.
| Parameter | Value |
| Number of food sources | 50 | Crossover probability | 0.2 | Maximum evolution times | 2 | End elimination ratio | 0.1 | Maximum iteration times | 50 | Number of rescue points | 2-6 | Material types | 1-40 | Number of exclusion member | 2 | Maximum loop search threshold | 20 |
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