BEHAVE: Fire Behavior Prediction and Fuel Modeling System ? BURN Subsystem, 1986. ,
Economic optimisation of wildfire intervention activities, International Journal of Wildland Fire, vol.19, issue.5, pp.659-672, 2010. ,
DOI : 10.1071/WF09090
A real-time risk assessment tool supporting wildland fire decision making, Journal of Forestry, vol.109, issue.5, pp.274-280, 2011. ,
Simulation and optimization for an experimental environment to wildfire resource management and planning: Firefight project modeling and architecture, Proceedings of the Winter Simulation Conference, pp.1950-1960, 2013. ,
FARSITE: A fire area simulator for fire managers, Proceedings of the Biswell Symposium: Fire Issues and Solutions in Urban Interface and Wildland Ecosystems, pp.55-56, 1995. ,
Analysing initial attack on wildland fires using stochastic simulation, International Journal of Wildland Fire, vol.15, issue.1, pp.137-146, 2006. ,
DOI : 10.1071/WF05027
A randomized scheduling algorithm for energy harvesting wireless sensor networks achieving nearly 100% throughput, 2014 IEEE Wireless Communications and Networking Conference (WCNC), pp.2456-2461, 2014. ,
DOI : 10.1109/WCNC.2014.6952774
Deploying Wildland Fire Suppression Resources with a Scenario-Based Standard Response Model, INFOR: Information Systems and Operational Research, pp.31-39, 2007. ,
DOI : 10.1016/S0966-8349(98)00049-7
The Total Cost of Fire in the United States, National Fire Protection Association, 2014. ,
GENETIC ALGORITHM BASED SIMULATION???OPTIMIZATION FOR FIGHTING WILDFIRES, International Journal of Computational Methods, vol.10, issue.06, 2010. ,
DOI : 10.1142/S0219876213500357
Integrated simulation and optimization for wildfire containment, ACM Transactions on Modeling and Computer Simulation, vol.19, issue.4, 2009. ,
DOI : 10.1145/1596519.1596524
DEVS-FIRE: design and application of formal discrete event wildfire spread and suppression models, SIMULATION, vol.88, issue.3, pp.259-279, 2012. ,
DOI : 10.1177/0037549711414592
Reinforcement learning based resource allocation in business process management, Data & Knowledge Engineering, vol.70, issue.1, pp.127-145, 2011. ,
DOI : 10.1016/j.datak.2010.09.002
A social reinforcement learning agent, Proceedings of the fifth international conference on Autonomous agents , AGENTS '01, pp.377-384, 2001. ,
DOI : 10.1145/375735.376334
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.4439
Fire intensity, fire severity and burn severity: a brief review and suggested usage, International Journal of Wildland Fire, vol.18, issue.1, pp.116-126, 2009. ,
DOI : 10.1071/WF07049
Trade with Caution, Kuala, 2013. ,
Reinforcement learning in robotics: A survey, The International Journal of Robotics Research, vol.32, issue.11, pp.1238-1274, 2013. ,
DOI : 10.1177/0278364913495721
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.366.5647
Deploying initial attack resources for wildfire suppression: spatial coordination, budget constraints, and capacity constraints, Canadian Journal of Forest Research, vol.43, issue.1, pp.56-65, 2013. ,
DOI : 10.1139/cjfr-2011-0433
URL : http://ir.library.oregonstate.edu/xmlui/bitstream/1957/37532/1/LeeYohanForestEcosystemsSocietyDeployingInitialAttack.pdf
A review of operational research studies in forest fire management, Canadian Journal of Forest Research, vol.12, issue.2, pp.119-140, 1982. ,
DOI : 10.1139/x82-020
Multisystem simulation: Analysis of critical infrastructures for disaster response, in Networks of Networks: The Last Frontier of Complexity, pp.255-277, 2014. ,
Dynamic recovery of critical infrastructures: real-time temporal coordination, International Journal of Critical Infrastructures, vol.4, issue.1/2, pp.17-31, 2008. ,
DOI : 10.1504/IJCIS.2008.016089
The 319 major industrial accidents since 1917, International Review of Chemical Engineering, vol.4, issue.6, pp.529-540, 2012. ,
Comparing Spatially Explicit Models of Fire Spread Through Chaparral Fuels: A New Algorithm Based Upon the Rothermel Fire Spread Equation, 2001. ,
DEVS-FIRE: Towards an Integrated Simulation Environment for Surface Wildfire Spread and Containment, SIMULATION, vol.84, issue.4, pp.137-155, 2008. ,
DOI : 10.1177/0037549708094047
Integrated systems for early forest-fire detection, Proceedings of the Fourteenth Conference on Fire and Forest Meteorology, pp.1977-1988, 1998. ,
Dynamic resource allocation in disaster response: Trade-offs in wildfire suppression, PLOS ONE, vol.7, issue.4, p.2012 ,
Modeling number of firefighters responding to an incident using artificial neural networks, International Journal of Emergency Services, vol.2, issue.2, pp.104-118, 2013. ,
DOI : 10.1108/IJES-03-2012-0001
Impact of climate change on area burned in Alberta's boreal forest, International Journal of Wildland Fire, vol.16, issue.2, pp.153-160, 2007. ,
DOI : 10.1071/WF06084
A reinforcement learning approach to jobshop scheduling, Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pp.1114-1120, 1995. ,