Speed Control of Electric Energy Vehicle Based on PSO Algorithm Optimization Method Study

Liu, Haoyang; Ge, Silin; Qu, Zongming

doi:10.1109/iccasit55263.2022.9986923

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…A method for optimizing the joint distribution path of unmanned aerial vehicles and vehicles, based on the construction method of the above-mentioned joint distribution path optimization model of unmanned aerial vehicles and vehicles, characterized in that it includes the following steps: S1: Chromosome encoding; S2: Population initialization; S3: Calculate fitness function; S4: Selection; S5: Crossover S6 mutation; S7: Evolutionary reversal The maximum genetic algebra is reached, if so, output the result; if not, return to S3 [6] .…”

Section: Genetic Algorithmmentioning

confidence: 99%

Distribution vehicle +drone joint distribution path optimization based on K-means optimization genetic algorithm

Zhang

Jiang

Shuang

et al. 2023

Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022)

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With the improvement of scientific and technological level and the popularization of the 5G network, the distribution mode of "delivery vehicle + drone" has gradually become a new effective distribution method. In order to solve the distribution path optimization problem of the "distribution vehicle + drone" mode of emergency materials under emergencies; In this paper, aiming at the shortest delivery time of "vehicle + drone", by combining the K-Means algorithm, genetic algorithm, and Floyd algorithm, a K-Means optimization genetic algorithm is proposed to solve the model; It is compared and discussed with the individual distribution of vehicles and the joint distribution under the limitation of increased vehicle load; finally, the feasibility of the model and algorithm is verified by numerical example simulation. The experimental results show that the proposed K-Means-based optimal genetic algorithm greatly improves the distribution efficiency of emergency materials in the process and results of the route solution for the "distribution vehicle + drone" distribution mode, compared with the vehicle alone distribution. The path optimization problem provides a scientific basis for decision-making, The actual path that can get the maximum benefit under the balance between the optimal distribution point demand and the maximum load of the vehicle has important research value.

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Section: Genetic Algorithmmentioning

confidence: 99%