Scheduling of rescue vehicles to forest fires via multi-objective Particle Swarm Optimization

Yaping Ren, Guangdong Tian, Mengchu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

It is complex and difficult to perform the rescue vehicle scheduling to handle forest fires in order to reduce the operational cost and improve the efficiency of fire-extinguishing services. A new research issue arises when a) decision-makers want to minimize the number of rescue vehicles while minimizing the rescue time; and b) decision-makers prefer to complete the fire-extinguishing task fast given limited vehicle resources. To do so, this work presents a novel multi-objective scheduling model to handle forest fires subject to limited rescue vehicle constraints. A fire spread speed factor is introduced into this model to better describe a practical forest fire. Also, a Multi-objective Particle Swarm Optimization (MPSO) algorithm is proposed to yield a set of Pareto solutions for this problem. This approach is applied to a real-world emergency scheduling problem of the forest fire in Mt. Daxing'anling, China. Both theoretical and simulation results demonstrate that the proposed approach is able to quickly produce Pareto solutions for decision makers.

Original languageEnglish (US)
Title of host publication2015 International Conference on Advanced Mechatronic Systems, ICAMechS 2015
PublisherIEEE Computer Society
Pages79-85
Number of pages7
ISBN (Electronic)9781467379960
DOIs
StatePublished - Oct 1 2015
EventInternational Conference on Advanced Mechatronic Systems, ICAMechS 2015 - Beijing, China
Duration: Aug 22 2015Aug 24 2015

Publication series

NameInternational Conference on Advanced Mechatronic Systems, ICAMechS
Volume2015-October
ISSN (Print)2325-0682
ISSN (Electronic)2325-0690

Other

OtherInternational Conference on Advanced Mechatronic Systems, ICAMechS 2015
CountryChina
CityBeijing
Period8/22/158/24/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Keywords

  • emergency scheduling
  • model and simulation
  • multi-objective optimization
  • particle swarm optimization (PSO)

Fingerprint Dive into the research topics of 'Scheduling of rescue vehicles to forest fires via multi-objective Particle Swarm Optimization'. Together they form a unique fingerprint.

Cite this