A diversity-based change response mechanism in bi-objective evolutionary algorithms improves handling of dynamic chance-constrained open-pit mine scheduling compared to baseline re-evaluation.
Pareto optimization for subset selec- tion with dynamic cost constraints.Artificial Intelligence, 302:103597
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On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem
A diversity-based change response mechanism in bi-objective evolutionary algorithms improves handling of dynamic chance-constrained open-pit mine scheduling compared to baseline re-evaluation.