Research on flood control and drainage scheduling based on a hybrid genetic algorithm

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Proposed hybrid approach improves drainage scheduling effectiveness and reduces operational costs in urban river systems.

The hybrid algorithm improves convergence speed by 25% compared to traditional methods, enhancing performance.
Results indicate a 40% reduction in gate operation frequency and a significant decrease in costs associated with flooding.
The model employs dynamic weight adjustments to optimize flood control while meeting necessary engineering constraints.
This research introduces novel algorithm features that increase practical applicability for urban flood management.

Zhang et al. (2025) studied this question.

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