Genetic algorithm-based automatic stereoscopic warehouse goods allocation optimization method

Abstract

The invention relates to the technical field of automatic stereoscopic warehouse storage, in particular to an automatic stereoscopic warehouse goods allocation optimization method based on a genetic algorithm. The method comprises the following steps: firstly, obtaining warehouse-in and warehouse-out frequency of goods according to historical order information of parts, and establishing a mathematical model for reducing warehouse-in and warehouse-out carrying time; counting the mass of the parts, and establishing a calculation formula for lowering the gravity center of the goods shelf; on the basis, clustering is carried out based on the correlation degree, and a mathematical model is established with the aim of improving the spatial aggregation degree of related products. The operation time, the shelf stability and the product correlation degree are comprehensively considered, a multi-target goods allocation optimization model is constructed, and the method is more comprehensive and reasonable than a single optimization target. According to the method, the comprehensive mathematical model is optimized and solved through the improved genetic algorithm, the obtained optimal solution is the current optimal goods allocation scheme, goods allocation distribution of parts can be effectively optimized, and decision makers are helped to formulate a reasonable scheme.

Description

technical field [0001] The technical field of automatic three-dimensional warehouse storage of the present invention is specifically an automatic three-dimensional warehouse cargo space allocation optimization method based on genetic algorithm. Background technique [0002] Automated three-dimensional warehouses are widely used in industrial warehousing because of their low footprint, high throughput efficiency and intelligent integrated control. The storage and retrieval of goods is an important factor that needs to be considered in the automated three-dimensional warehouse. A reasonable storage space allocation strategy can effectively improve the efficiency of storage operations, reduce logistics costs and extend the shelf life. It is a key issue to improve enterprise efficiency. [0003] At present, a large number of researches on the automated three-dimensional warehouse have been carried out from the theory and technology at home and abroad, which is also the reason wh...

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Problems solved by technology

[0005] The present invention provides a genetic algorithm-based optimization method for cargo space allocation in an automated three-dimensional warehouse, which can improve handling efficiency, accelerate convergence speed, and make cargo space allocation more reasonable, thereby ensuring the effectiveness and practicability of cargo space allocation optimization, and solving the problem of Solve the problems of low handling efficiency, poor shelf stability and low spatial aggregation of related products in the existing automated three-dimensional warehouse location allocation method

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