NSGA-II-based automatic storage goods allocation optimization method

Abstract

The invention discloses an NSGA-II-based automatic storage goods allocation optimization method, and the method comprises the steps: carrying out the goods classification through an ABC classificationanalysis method in combination with the goods information; determining an optimization target and a constraint condition of the automatic storage goods allocation method; establishing a constrained multi-objective optimization problem mathematical model; and solving the model by adopting an NSGA-II-based optimization algorithm to obtain an optimal Pareto solution set, and distributing optimization weights according to the actual specific situation of the automatic storage space to obtain a unique non-dominated solution as an optimal solution. The method can be suitable for small and medium-sized automatic storage such as intelligent express cabinets, intelligent vending machines and self-service storing and taking cabinets; the automatic storage space utilization rate and the goods storing and taking execution efficiency can be effectively improved, the working intensity of workers is relieved, the labor cost and the device maintenance cost are greatly reduced, the safety and reliability of automatic storage are improved, and the good practical value and the wide application value are achieved.

Description

technical field [0001] The invention relates to the technical field of automatic storage, in particular to an NSGA-II-based automatic storage location allocation optimization method. Background technique [0002] With the rapid development of modern logistics systems, traditional flat warehouses are being phased out because of their large footprint, low space utilization rate, and obsolescence. Under this background, automated three-dimensional warehouses have emerged as the times require. Due to high manufacturing costs, long construction period, poor versatility, and labor-intensive problems, the market demand for intelligent, miniaturized, and integrated small-scale intensive storage systems is gradually increasing, especially for smart express cabinets, self-service storage cabinets, etc. Automated storage facilities, but at present, smart express cabinets are mainly stored manually. It often occurs that some cargo spaces are idle for too long and some cargo spaces are n...

AI Technical Summary

Problems solved by technology

[0003] How to establish a space allocation optimization model to ensure the efficient operation of automated warehousing has become the primary goal and technical requirement of small-scale dense storage systems. This constrained multi-objective optimization mathematical model often converts multi-objectives into single-objectives by assigning weights. Problem solving, but the distribution of weights generally requires experience as support, and it is difficult to solve real multi-objective optimization; and genetic algorithms are usually used, but there will be premature phenomena, and the convergence cannot be guaranteed

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