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The Scheduling Model of Forest Fire-Extinguishing Resources and Its Simulation

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成果类型:
会议论文
作者:
Zhou, Guoxiong;Lu, Chao;Li, Mingxuan
通讯作者:
Lu, C.
作者机构:
[Li, Mingxuan; Lu, Chao; Zhou, Guoxiong] Cent South Univ Forestry & Technol, Changsha, Peoples R China.
通讯机构:
[Lu, C.] C
Central South University of Forestry and TechnologyChina
语种:
英文
关键词:
Forest fire-extinguishing resources scheduling;Improved Ant Colony algorithm;Path planning;Quantum particle swarm algorithm
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2022
卷:
1491
页码:
85-101
会议名称:
16th CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW)
会议论文集名称:
Communications in Computer and Information Science
会议时间:
NOV 26-28, 2021
会议地点:
CCF Tech Comm Cooperat Comp, Xiangtan, PEOPLES R CHINA
会议主办单位:
CCF Tech Comm Cooperat Comp
主编:
Sun, Y Lu, T Cao, B Fan, H Liu, D Du, B Gao, L
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
SPRINGER INTERNATIONAL PUBLISHING AG
ISBN:
978-981-19-4546-5; 978-981-19-4545-8
基金类别:
Acknowledgements. This work was supported by Changsha Municipal Natural Science Foundation(Grant No. kq2014160), the National Natural Science Foundation of China (Grant No. 61703441), the State Bureau of Forestry “948” project in China (Grant No. 2014-4-09).
机构署名:
本校为第一机构
摘要:
A scheduling model of forest fire extinguishing suitable for Southern forests is proposed in this paper. First of all, according to forest fire fighting strategy, we can determine the extinguishing points that can divide the fire field and break them one by one. Then, quantum particle swarm optimization is used to calculate the optimal path. If there are “flying fire” and other emergencies in the fire extinguishing process, the improved Ant Colony algorithm based on periodically pheromone updating is used to schedule resources including perso...

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