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Watering cart route intelligent planning method based on double-layer genetic algorithm

A genetic algorithm and intelligent planning technology, applied in genetic rules, calculations, genetic models, etc., can solve problems such as no arrangement plan, traffic hazards affecting road smoothness, waste of human and material resources, etc., to improve work efficiency, save fuel, and save energy. The effect of manpower and material resources

Inactive Publication Date: 2019-12-06
JILIN UNIV
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AI Technical Summary

Problems solved by technology

Randomly taking water from fire hydrants in each road section has serious traffic hazards and affects the smoothness of the road
[0003] The above problems are mainly due to the fact that the operation of the sprinkler and the water supply route are all arranged manually, and there is no scientific and reasonable arrangement plan, especially in the case of complex urban roads and multiple water supply points, to determine a reasonable task allocation It is almost impossible to achieve the minimum total distance of vehicles through manual arrangements, and often leads to waste of human and material resources.

Method used

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  • Watering cart route intelligent planning method based on double-layer genetic algorithm
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  • Watering cart route intelligent planning method based on double-layer genetic algorithm

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Embodiment Construction

[0030] Describe technical scheme of the present invention in detail below in conjunction with accompanying drawing:

[0031] In recent years, the research on VRP (Vehicle Routing Problem) at home and abroad has been quite mature, and rich results have been obtained in the research of various VRPs, and various solutions are adopted, which can be divided into precise algorithms (bit-port integer programming, Branch and bound, etc.) and heuristic algorithms (tabu search, genetic algorithm, ant colony algorithm, etc.)

[0032] Genetic algorithm is an optimization technology based on natural selection and biological genetic mechanism abstracted from the process of biological evolution. It relies on natural random algorithm to approach the optimal solution of the problem, and has good global search ability. The genetic algorithm encodes the problem parameters in a certain form, and the encoded bit string is called a chromosome, and then designs a suitable evolutionary operator for t...

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Abstract

The invention discloses a watering cart route intelligent planning method based on a double-layer genetic algorithm, which adopts the double-layer genetic algorithm, the outer layer is optimization ofa service arc and a parking lot, the inner layer is optimization of a service path in each parking lot, and the method comprises the following steps: step 1, determining an optimization target and aconstraint condition; step 2, performing data preprocessing; step 3, initializing a chromosome population; step 4, performing chromosome evolution; step 5, locally searching chromosomes; step 6, performing natural selection of chromosomes; 7, decoding the optimal population; and step 8, performing reasonable distribution of routes. The running distance of the watering cart can be shortened, the spraying cost is reduced, and the spraying efficiency is improved.

Description

technical field [0001] The invention relates to an intelligent planning method for a sprinkler route, in particular to an intelligent planning method for a sprinkler route based on a double-layer genetic algorithm. Background technique [0002] A city is usually equipped with several sprinklers, which are responsible for dust suppression and cleaning of urban roads. The sprinkler needs to sprinkle water 2 to 3 times a day, and each time it takes about 2 to 3 hours to sprinkle water. In case of sunny days or special circumstances, it is necessary to increase the number of sprinklers to maintain a good urban environment and sanitation and ensure urban air quality. Due to the limited water storage capacity of the sprinkler, it is necessary to drive to a specific watering point for watering after sprinkling for a period of time. In order to complete the daily sprinkler task on time, some sprinklers at sanitation stations can only connect to the nearest fire hydrant at each road ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N3/12
CPCG06N3/126G06Q10/047G06Q50/26
Inventor 闵海涛宋琪于远彬何自亮
Owner JILIN UNIV
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