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Journal of System Simulation

Abstract

Abstract: To address issues such as the dense distribution of storage locations and the potential congestion of shuttle vehicles in the four-way shuttle dense storage system, a grid-based approach to the storage location distribution is developed. A location allocation model is then constructed with the goals of ensuring shelf stability, improving warehousing efficiency, and balancing equipment utilization. A twostage hybrid algorithm is designed for the model. In the first stage, the local search strategy of nondominant sequencing genetic algorithm(NSGA-II) is enhanced by incorporating the hill climbing algorithm to address a set of Pareto front sets. In the second stage, the Pareto front set is pruned using Kmeans. Simulation experiments are used to analyze the effectiveness of the model and algorithm. Results indicate significant optimizations in equipment usage balance (3.1%), shelf stability (4.5%), and warehousing efficiency (3.4%) compared to the target weighting scheme. The solution results and speed of the proposed two-stage hybrid optimization algorithm outperform those of the NSGA-II.

First Page

1234

Last Page

1245

CLC

TP391.9; TP29

Recommended Citation

Wu Zisong, Chang Daofang, Gai Yuchun. Optimization of Cargo Location Allocation in Four-way Shuttle Warehousing System Based on Two-stage Hybrid Algorithm[J]. Journal of System Simulation, 2025, 37(5): 1234-1245

Corresponding Author

Chang Daofang

DOI

10.16182/j.issn1004731x.joss.24-0039

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