AGV system device collaborative optimization method

Abstract

The invention discloses an AGV system device collaborative optimization method. The method comprises the following steps: S1, a population is initialized and the fitness value is calculated; S2, iter is set to be 1, wherein the iter is the current iterations; S3, sorting is carried out according to the sizes of the fitness values, and former 10%*M individuals are saved to a son generation; S4, former 40%*M populations, 40%-70%*M populations and 70%-100%*M populations are subjected to an evolutionary mechanism, wherein the former 40%*M is subjected to crossover operation, the 40%-70%*M is subjected to mutation operation, and the 70%-100%*M is subjected to regeneration operation; S5, according to a population generation rule, a new population is formed, and the fitness value is calculated; S6, according to a cutting rule, the population is cut; S7, the optimal individual in the generation is saved; and S8, whether iter+1 is smaller than iter<max> , iter<max> is the maximum iterations, if iter+1 is smaller than iter<max>, the optimal solution is inputted, and if iter+1 is larger than or equal to iter<max>, the step S3 and the subsequent steps are executed. According to the AGV system device collaborative optimization method provided by the embodiment of the invention, the optimization ability can be improved, and the material transportation cost of the entire production system is further minimized.

Description

technical field [0001] The invention relates to the field of AGV technology, in particular to an AGV system equipment collaborative optimization method. Background technique [0002] AGV refers to an autonomous carrier vehicle equipped with a main control computer, various sensors and other equipment, which can drive along a prescribed guiding path and perform short-distance delivery tasks. AGV is a type of wheeled mobile robot. It is actually a cross product of knowledge and technology in multidisciplinary fields such as computer control, vehicle engineering, hardware and software systems. [0003] In the context of the continuous improvement of automation technology in the current enterprise manufacturing system, systems such as flexible production organization and automated logistics transportation have put forward higher requirements for material transportation methods, and the innovation of transportation methods is also promoting the transformation of production method...

AI Technical Summary

Problems solved by technology

Among them, the grid layout AGV system is more flexible, and there are many studies on this type of layout mode, but the control of its AGV travel route is more complicated, and multi-vehicle scheduling needs to be considered to solve vehicle congestion and conflicts.

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