Abstract: This work aims to improve the efficiency, safety, and cost-effectiveness of subterranean construction projects by presenting an optimization strategy for tunnel excavation based on genetic ...
Abstract: This study proposes a hybrid framework for optimizing last-mile delivery routes that combines Genetic Algorithm (GA), Integer Programming (IP), and machine learning (ML)-based clustering and ...
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