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Online risk-aware pattern adjustment for bin packing problem
DOI:10.1016/j.eswa.2025.131074.png)
Abstract
En 中文
• A novel method for handling forecast errors in the online bin packing problem. • Risk evaluation of packing patterns based on shadow price analysis. • Formalises the pattern update problem as a Stochastic Multiple Knapsack Problem (SMKP). • Efficient solution of the SMKP using a tailored Fast Genetic Algorithm (FGA) and the Gurobi solver. • State-of-the-art performance demonstrated through comprehensive experiments.
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W

