Research on Maritime Multi-center Emergency Resource Scheduling Based on Improved NSGA-II

Yifan Wang*, Qingbo Geng, Qing Fei, Bo Wang

*Corresponding author for this work

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

Abstract

In order to provide effective support for maritime accidents, it is significant to study the maritime emergency resource scheduling. In this paper, considering that the existing scheduling model is difficult to apply to the maritime background, or the existing model considers insufficient factors, we propose a maritime multi-center emergency resource scheduling model. The model takes time penalty and total replenishment cost as targets, and introduces the influence of various environmental factors. Then, an improved non-dominated sorting genetic algorithm II (NSGA-II) is designed to optimize the model. In the algorithm, the population diversity is ensured by the improvement of population initialization and mutation operator, and an adaptive parameter adjustment strategy is adopted to improve the search efficiency. Simulation experiments show that the improved NSGA-II algorithm has better convergence and distribution, and the solution results also verify the correctness of the model.

Original languageEnglish
Title of host publicationProceedings - 2022 Chinese Automation Congress, CAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3389-3394
Number of pages6
ISBN (Electronic)9781665465335
DOIs
Publication statusPublished - 2022
Event2022 Chinese Automation Congress, CAC 2022 - Xiamen, China
Duration: 25 Nov 202227 Nov 2022

Publication series

NameProceedings - 2022 Chinese Automation Congress, CAC 2022
Volume2022-January

Conference

Conference2022 Chinese Automation Congress, CAC 2022
Country/TerritoryChina
CityXiamen
Period25/11/2227/11/22

Keywords

  • NSGA-II
  • emergency resource scheduling
  • multi-center
  • multi-objective optimization

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