Control Application Based on Multi-objective Simulated Annealing Algorithm

Xiang Wang*, Guanyu Lu, Mingyu Lu, Jiajun Liu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The application of drones is a recent hot research topic. We need to use drones based on some optimization algorithms to find the best path for simulation data. We will use Monte Carol to simulate the initial solution to establish a multiobjective simulated annealing algorithm to arrange the UAV and balance two main goals: safety and cost. We also use other factors as parameters, including the size and frequency of the destination. We applied the algorithm to the simulated data and got the solution result. In addition, we conducted a sensitivity analysis on the outer loop parameters of the simulated annealing algorithm. At the same time, the model was evaluated, and its development prospects were forecasted.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages708-714
Number of pages7
ISBN (Electronic)9780738146492
DOIs
Publication statusPublished - 24 Sept 2021
Externally publishedYes
Event2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2021 - Fuzhou, China
Duration: 24 Sept 202126 Sept 2021

Publication series

Name2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2021

Conference

Conference2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2021
Country/TerritoryChina
CityFuzhou
Period24/09/2126/09/21

Keywords

  • GIS
  • MTSP (multiple traveling salesman problem)
  • Simulated Annealing
  • UAV

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