Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm

The research on dispatching of emergency supplies for maritime emergencies is the key to improve the use efficiency of marine emergency resources and the success rate of search and rescue. In view of the characteristics of emergency accidents at sea, in this paper, a material scheduling model with t...

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Main Authors: Jiang Hongzheng, Zhu Yuzhu
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03028.pdf
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spelling doaj-9e0f71aca95949f49a9a77055a3efce22021-05-28T12:42:12ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570302810.1051/e3sconf/202125703028e3sconf_aesee2021_03028Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search AlgorithmJiang Hongzheng0Zhu Yuzhu1Navigation College of Dalian Maritime University master studentNavigation College of Dalian 2Maritime University full professorThe research on dispatching of emergency supplies for maritime emergencies is the key to improve the use efficiency of marine emergency resources and the success rate of search and rescue. In view of the characteristics of emergency accidents at sea, in this paper, a material scheduling model with the shortest time is built for multi-accident points, multi-ship dispatching and multi-material supply points, and the optimal material scheduling scheme is obtained. The step-size updating coefficient eta is introduced into the variable step-size optimization search algorithm ( BAS ), so that the step-size decreases with the depth of optimization, which improves the searching precision and accuracy of the search algorithm. The simulation experiment verifies that this algorithm can solve the optimization scheme of material scheduling quickly and efficiently.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03028.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Jiang Hongzheng
Zhu Yuzhu
spellingShingle Jiang Hongzheng
Zhu Yuzhu
Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm
E3S Web of Conferences
author_facet Jiang Hongzheng
Zhu Yuzhu
author_sort Jiang Hongzheng
title Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm
title_short Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm
title_full Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm
title_fullStr Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm
title_full_unstemmed Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm
title_sort research on maritime emergency material dispatch based on beetle antennae search algorithm
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The research on dispatching of emergency supplies for maritime emergencies is the key to improve the use efficiency of marine emergency resources and the success rate of search and rescue. In view of the characteristics of emergency accidents at sea, in this paper, a material scheduling model with the shortest time is built for multi-accident points, multi-ship dispatching and multi-material supply points, and the optimal material scheduling scheme is obtained. The step-size updating coefficient eta is introduced into the variable step-size optimization search algorithm ( BAS ), so that the step-size decreases with the depth of optimization, which improves the searching precision and accuracy of the search algorithm. The simulation experiment verifies that this algorithm can solve the optimization scheme of material scheduling quickly and efficiently.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_03028.pdf
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AT zhuyuzhu researchonmaritimeemergencymaterialdispatchbasedonbeetleantennaesearchalgorithm
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