Treffer: Prediction of Fire Propagation in Forest Areas using Genetic Algorithm

Title:
Prediction of Fire Propagation in Forest Areas using Genetic Algorithm
Source:
ITM Web of Conferences, Vol 32, p 03046 (2020)
Publisher Information:
EDP Sciences
Publication Year:
2020
Collection:
Directory of Open Access Journals: DOAJ Articles
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
DOI:
10.1051/itmconf/20203203046
Accession Number:
edsbas.5F4ADCDB
Database:
BASE

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Forest fire causes significant damages to environment and living organisms. It becomes troublesome to recover from the consequences of forest fire. The early and accurate prediction of forest fire propagation in forest area will help in fire management efforts. The models required for prediction of forest fire spread requires many parameters and which are not known precisely during the emergency. So there is a need of intelligent system to model and predict the propagation of forest fire to reduce the consequences of forest fire and minimize the management efforts. In this work, we have discussed different techniques available in literature for forest fire prediction. This paper also describes the implementation and analysis of prediction of forest fire propagation using Genetic Algorithm and Geometric Semantic Genetic Programming.