GA-based solutions comparison for warehouse storage optimization

Colla, Valentina; Nastasi, Gianluca; Matarese, Nicola; Reyneri, Leonardo

doi:10.3233/his-2010-0120

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…Multiple forklifts can carry out dangerous goods in and out of the warehouse at the same time and an alternative one is prepared too. Te distances of closed-loop routes between inbound and outbound point are recorded as 15, where the rows in L corresponds to the inbound point, and the column corresponds to the outbound point. Te matrix L is obtained by actual measurement.…”

Section: Preliminariesmentioning

confidence: 99%

“…Although the aforementioned methods can achieve the objective of fnding the approximate solution in an optimization problem, these methods have academic blanks of path planning problem, particularly in the felds of route planning in warehouse operation. Noting the existing defects, Colla et al [15] proposed a simple path planning model for the navigation of mobile robots and introduced a genetic-search algorithm which improves the efciency of iteration. Bottani et al [16] explored the use of a genetic algorithm (GA) to optimize item allocation in a warehouse with the ultimate purpose of reducing the travel time of pickers, thus streamlining order picking operations.…”

Section: Introductionmentioning

confidence: 99%

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Design of Interconnected Warehouse and Routing Optimization by BP Genetic Neural Network Algorithm

Zhang

Han

et al. 2022

Mathematical Problems in Engineering

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With the continuous progress of the chemical industry, warehouse design needs to be diversified on account of the increasing complex and multitudinous perilous chemicals. In this situation, this study projects the conception of the interconnected warehouse. By taking the storage points as the quantity and the path as the variable, this study establishes a quadratic allocation model on the operations of this novel kind of warehouse. Then, an improved neural network algorithm is proposed to ascertain the optimal solution. The innovation of this study is that it releases the space resources of the classic dangerous goods warehouse and improves the operational efficiency of the dangerous goods warehouse under the premise of ensuring safety. Finally, the proposed model and algorithm is tested and verified with a data of Shanghai Lingang dangerous Material Warehouse. The empirical research demonstrates that the interconnected warehouse has ideal performance for lifting the handling efficiency on the basis of ensuring safety.

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Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%