Refining a Parameter Setting Evolutionary Approach for Fire Spreading Models Based on Cellular Automata-Reference-Cited by-同舟云学术

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Refining a Parameter Setting Evolutionary Approach for Fire Spreading Models Based on Cellular Automata

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Science and Computational Intelligence (CSCI)
language:
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Author:

Ferreira Maria Eugênia A.¹,Lima Danielli A.²,Martins Luiz G. A.¹,Oliveira Gina M. B.¹

Affiliation:

1. Federal University of Uberlândia (UFU) Campus Santa Mônica,Computer Faculty (FACOM),Uberlândia,MG,Brazil

2. Federal Institute of Triângulo Mineiro (IFTM) Campus Patrocínio,Laboratory of Intelligence Computational and Robotics (LICRo),Information Technology Department (DTI),Patrocínio,MG,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216485.pdf?arnumber=10216485

Reference28 articles.

1. Identifying the Threshold of Dominant Controls on Fire Spread in a Boreal Forest Landscape of Northeast China

2. Subdivided Cellular Automata Model Considering Anticipation Floor Field and Analysis of Pedestrian Detour Behavior

3. Surveillance task optimized by Evolutionary shared Tabu Inverted Ant Cellular Automata Model for swarm robotics navigation control

4. Evolutionary Tabu Inverted Ant Cellular Automata with Elitist Inertia for swarm robotics as surrogate method in surveillance task using e-Puck architecture

5. Autômates celulares estocásticos bidimensionais aplicados a simulação de propagação de incêndios em florestas homogêneas;lima;Workshop of Appl Comp for the Management of the Environment and Natural Resources,0

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