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蜣螂优化算法下"互联网+营销服务"虚拟机器人应用模型

何玮 周雨湉 俞阳 康雨萌 朱萌 钱旭盛

西安工程大学学报2024,Vol.38Issue(1):113-120,8.
西安工程大学学报2024,Vol.38Issue(1):113-120,8.DOI:10.13338/j.issn.1674-649x.2024.01.015

蜣螂优化算法下"互联网+营销服务"虚拟机器人应用模型

Application model of"Internet+Marketing service"virtual robot under dung beetle optimizer algorithm

何玮 1周雨湉 2俞阳 1康雨萌 1朱萌 1钱旭盛1

作者信息

  • 1. 国网江苏营销服务中心,江苏 南京 210000
  • 2. 伦敦大学 国王学院,伦敦 WC2R 2LS
  • 折叠

摘要

Abstract

In order to deal with the situation of power marketing service under the new situation and improve the service of power grid in the internet era,a virtual robot model of"Internet+ Marketing service"was designed by the dung beetle optimizer(DBO)algorithm.Firstly,interac-tion analysis and relationship framework design were carried out for possible human-machine in-teraction scenarios in the power grid marketing department.Then,a virtual robot autonomous learning model was established based on deep Q network(DQN),and the DBO algorithm was in-troduced to efficiently optimize the model hyperparameters.The optimized model learning was completed through training.Finally,actual power marketing data was input into the model for experimental testing.The actual application of the virtual robot model was comprehensively test-ed in a specific testing environment.The test results show that the normal operation rate of the model and system in functional experiments,non functional experiments,and safety experiments reach 100%,which can achieve human-machine interaction function and the strategic goal of ac-curate response to customer needs.

关键词

深度Q网络/虚拟机器人/蜣螂优化(DBO)算法/超参数寻优/电力营销服务

Key words

deep Q network/virtual robot/dung beetle optimizer algorithm/hyperparametric op-timization/power marketing service

分类

信息技术与安全科学

引用本文复制引用

何玮,周雨湉,俞阳,康雨萌,朱萌,钱旭盛..蜣螂优化算法下"互联网+营销服务"虚拟机器人应用模型[J].西安工程大学学报,2024,38(1):113-120,8.

基金项目

国网江苏电力研发实施类信息化项目(SGJSYF00YHX) (SGJSYF00YHX)

西安工程大学学报

OACSTPCD

1674-649X

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