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A Heuristic-Guided Genetic Algorithm for heterogeneous agricultural machinery scheduling with time windows
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DOI：10.1016/j.swevo.2026.102486.png)
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Abstract
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• Define the heterogeneous agricultural machinery scheduling problem with time windows. • Propose a two-part encoding strategy within a heuristic-guided genetic algorithm. • Design a hybrid population initialization strategy to generate high-quality solutions. • Introduce a heuristic-guided mutation strategy to enhance search and avoid premature convergence.
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