A Stochastic Programming Approach For Wildfire Suppression

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A Stochastic Programming Approach for Wildfire Suppression

Author : Daniel Eduardo Suárez Bayona
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis A Stochastic Programming Approach for Wildfire Suppression by : Daniel Eduardo Suárez Bayona

Download or read book A Stochastic Programming Approach for Wildfire Suppression written by Daniel Eduardo Suárez Bayona and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Wildfires suppression is a problem of big interest in literature because of the threat that these events represent to communities, the buildings and the environment. To control these events, firemen realize tactic operations to stop the wildfire propagation using techniques such as firelines, water attacks and retardant chemicals. The success of the attack depends on the resources available and the time of arrival of these resources to the attack zone, making the resource location essential to control the wildfire. A mixed integer stochastic optimization model is proposed to represent the scenarios of wildfires, using a time-expanded graph to represent the dynamics of propagation. The model seeks to minimize the expected costs, including: facilities cost, resource location costs, and expected cost of distribution, excess and shortage of inventory..."-- Tomado del Formato de Documento de Grado.

A Stochastic Mixed Integer Programming Approach to Wildfire Management Systems

Author : Won Ju Lee
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (61 download)

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Book Synopsis A Stochastic Mixed Integer Programming Approach to Wildfire Management Systems by : Won Ju Lee

Download or read book A Stochastic Mixed Integer Programming Approach to Wildfire Management Systems written by Won Ju Lee and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Wildfires have become more destructive and are seriously threatening societies and our ecosystems throughout the world. Once a wildfire escapes from its initial suppression attack, it can easily develop into a destructive huge fire that can result in significant loss of lives and resources. Some human-caused wildfires may be prevented; however, most nature-caused wildfires cannot. Consequently, wildfire suppression and containment becomes fundamentally important; but suppressing and containing wildfires is costly. Since the budget and resources for wildfire management are constrained in reality, it is imperative to make important decisions such that the total cost and damage associated with the wildfire is minimized while wildfire containment effectiveness is maximized. To achieve this objective, wildfire attack-bases should be optimally located such that any wildfire is suppressed within the effective attack range from some bases. In addition, the optimal fire-fighting resources should be deployed to the wildfire location such that it is efficiently suppressed from an economic perspective. The two main uncertain/stochastic factors in wildfire management problems are fire occurrence frequency and fire growth characteristics. In this thesis two models for wildfire management planning are proposed. The first model is a strategic model for the optimal location of wildfire-attack bases under uncertainty in fire occurrence. The second model is a tactical model for the optimal deployment of fire-fighting resources under uncertainty in fire growth. A stochastic mixed-integer programming approach is proposed in order to take into account the uncertainty in the problem data and to allow for robust wildfire management decisions under uncertainty. For computational results, the tactical decision model is numerically experimented by two different approaches to provide the more efficient method for solving the model.

Resource Allocation for Wildland Fire Suppression Planning Using a Stochastic Program

Author : Alex Taylor Masarie
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Resource Allocation for Wildland Fire Suppression Planning Using a Stochastic Program by : Alex Taylor Masarie

Download or read book Resource Allocation for Wildland Fire Suppression Planning Using a Stochastic Program written by Alex Taylor Masarie and published by . This book was released on 2011 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Resource allocation for wildland fire suppression problems, referred to here as Fire-S problems, have been studied for over a century. Not only have the many variants of the base Fire-S problem made it such a durable one to study, but advances in suppression technology and our ever-expanding knowledge of and experience with wildland fire behavior have required almost constant reformulations that introduce new techniques. Lately, there has been a strong push towards randomized or stochastic treatments because of their appeal to fire managers as planning tools. A multistage stochastic program with variable recourse is proposed and explored in this paper as an answer to a single-fire planning version of the Fire-S problem. The Fire-S stochastic program is discretized for implementation according to scenario trees, which this paper supports as a highly useful tool in the stochastic context. Our Fire-S model has a high level of complexity and is parameterized with a complicated hierarchical cluster analysis of historical weather data. The cluster analysis has some incredibly interesting features and stands alone as an interesting technique apart from its application as a parameterization tool in this paper. We critique the planning model in terms of its complexity and options for an operational version are discussed. Although we assume no interaction between fire spread and suppression resources, the possibility of incorporating such an interaction to move towards an operational, stochastic model is outlined. A suppression budget analysis is performed and the familiar "production function" fire suppression curve is created, which strongly indicates the Fire-S model performs in accordance with fire economic theory as well as its deterministic counterparts. Overall, this exploratory study demonstrates a promising future for the existence of tractable stochastic solutions to all variants of Fire-S problems."

Modeling, Stochastic Control, Optimization, and Applications

Author : George Yin
Publisher : Springer
ISBN 13 : 3030254984
Total Pages : 599 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Modeling, Stochastic Control, Optimization, and Applications by : George Yin

Download or read book Modeling, Stochastic Control, Optimization, and Applications written by George Yin and published by Springer. This book was released on 2019-07-16 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.

INFORMS Annual Meeting

Author : Institute for Operations Research and the Management Sciences. National Meeting
Publisher :
ISBN 13 :
Total Pages : 480 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis INFORMS Annual Meeting by : Institute for Operations Research and the Management Sciences. National Meeting

Download or read book INFORMS Annual Meeting written by Institute for Operations Research and the Management Sciences. National Meeting and published by . This book was released on 2008 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Issues in Forestry Research and Application: 2013 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1490106839
Total Pages : 660 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Issues in Forestry Research and Application: 2013 Edition by :

Download or read book Issues in Forestry Research and Application: 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Forestry Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Applied Forestry. The editors have built Issues in Forestry Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Applied Forestry in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Forestry Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Artificial Intelligence and Conservation

Author : Fei Fang
Publisher : Cambridge University Press
ISBN 13 : 1108672922
Total Pages : 247 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Artificial Intelligence and Conservation by : Fei Fang

Download or read book Artificial Intelligence and Conservation written by Fei Fang and published by Cambridge University Press. This book was released on 2019-03-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.

Computational Science and Its Applications – ICCSA 2024 Workshops

Author : Osvaldo Gervasi
Publisher : Springer Nature
ISBN 13 : 3031652231
Total Pages : 474 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2024 Workshops by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2024 Workshops written by Osvaldo Gervasi and published by Springer Nature. This book was released on with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Algorithm Based Simulation-optimization for Fighting Wildfires

Author : Baisravan HomChaudhuri
Publisher :
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Genetic Algorithm Based Simulation-optimization for Fighting Wildfires by : Baisravan HomChaudhuri

Download or read book Genetic Algorithm Based Simulation-optimization for Fighting Wildfires written by Baisravan HomChaudhuri and published by . This book was released on 2010 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wildfire is one of the most significant disturbances responsible for reshaping the terrain and changing the ecosystem of a particular region. Detrimental effects of wildfires on environment as well as human lives and properties, and the growing trend in terms of frequency and intensity over the last decade have necessitated the development of efficient forest fire management techniques. During the last three decades, Forest Fire Decision Support Systems (FFDSS) have been developed to help in the decision-making processes during forest fires by providing necessary information on fire detection, their status and behavior, and other aspects of forest fires. However, most of these decision support systems lack the capability of developing intelligent fire suppression strategies based upon current status and predicted behavior of forest fire. This thesis presents an approach for construction of efficient fireline via intelligent resource allocation. A Genetic Algorithm based approach has been proposed in this thesis for resource allocation and optimum fireline building that minimizes the total damage due to wildland fires. The approach is based on a simulation-optimization technique in which the Genetic Algorithm uses advanced forest fire propagation models based upon Huygens principles for evaluation of performance index of its solutions. Both homogeneous and heterogeneous scenarios have been considered. Uncertainties in weather conditions as well as imperfect knowledge about exact vegetation and topographical conditions make exact prediction of wildfires very difficult. The thesis presents Monte-Carlo simulations to develop robust strategies in uncertain conditions. Extensive simulations demonstrate the effectiveness of the proposed approach in efficient resource allocation for fighting complex wildfires in uncertain and dynamic conditions. Application of Parallel Genetic Algorithm has also been shown that reduces computation time without compromising the optimality of solution.

Canadian Journal of Forest Research

Author :
Publisher :
ISBN 13 :
Total Pages : 438 pages
Book Rating : 4.:/5 (8 download)

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Book Synopsis Canadian Journal of Forest Research by :

Download or read book Canadian Journal of Forest Research written by and published by . This book was released on 2015-04 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Robust Optimisation Approach for the Placement of Wildland Fire Suppression Resources

Author : André Bergsten Mendes
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis A Robust Optimisation Approach for the Placement of Wildland Fire Suppression Resources by : André Bergsten Mendes

Download or read book A Robust Optimisation Approach for the Placement of Wildland Fire Suppression Resources written by André Bergsten Mendes and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research devises an initial attack plan to combat wildfires that break out in wildland-urban interfaces. To be eligible for such a plan, the landscape must have been previously mapped and modelled concerning spatial and topographic data and fuel levels. Thus, when ignition occurs, one can predict the expected fire behaviour in terms of spread direction and rate of spread. With such information, decisions can be taken on where and when to position the suppression resources. This paper extends a recent contribution to this subject, generalising each node's resource requirement and allowing a more precise modelling of non-homogeneous landscapes. Moreover, we treat the cases where the estimated number of resources may not be sufficient to deal with the fire intensity, which only becomes revealed at the fire scene. In such cases, additional resources may be needed to contain the fire effectively. This worst-case approach is modelled with the support of the robust optimisation paradigm. We propose a deterministic mathematical programming model, a robust optimisation counterpart, a preprocessing routine to reduce the network size, and a robust tabu search algorithm. We adapt instances from the literature, which are solved by a commercial optimiser and the robust tabu search. The proposed algorithm could optimally solve 94 out of 96 instances. Finally, we conducted a Monte Carlo simulation as part of a risk analysis assessment of the generated solutions.

Costs of Wildfire Suppression

Author : United States. Congress. Senate. Committee on Energy and Natural Resources
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Costs of Wildfire Suppression by : United States. Congress. Senate. Committee on Energy and Natural Resources

Download or read book Costs of Wildfire Suppression written by United States. Congress. Senate. Committee on Energy and Natural Resources and published by . This book was released on 2007 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Stochastic Programming Approach to Resource-constrained Assignment Problems

Author : Berkin Toktas
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (118 download)

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Book Synopsis A Stochastic Programming Approach to Resource-constrained Assignment Problems by : Berkin Toktas

Download or read book A Stochastic Programming Approach to Resource-constrained Assignment Problems written by Berkin Toktas and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Multistage Stochastic Programming Approach in Real-time Process Control

Author : Izaskun Garrido
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (254 download)

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Book Synopsis A Multistage Stochastic Programming Approach in Real-time Process Control by : Izaskun Garrido

Download or read book A Multistage Stochastic Programming Approach in Real-time Process Control written by Izaskun Garrido and published by . This book was released on 2006 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Costs of wildfire suppression :Congressional Hearing

Author :
Publisher : DIANE Publishing
ISBN 13 : 9781422320563
Total Pages : 172 pages
Book Rating : 4.3/5 (25 download)

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Book Synopsis Costs of wildfire suppression :Congressional Hearing by :

Download or read book Costs of wildfire suppression :Congressional Hearing written by and published by DIANE Publishing. This book was released on with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Risk Management in Stochastic Integer Programming

Author : Frederike Neise
Publisher : Vieweg+Teubner Verlag
ISBN 13 : 9783834805478
Total Pages : 107 pages
Book Rating : 4.8/5 (54 download)

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Book Synopsis Risk Management in Stochastic Integer Programming by : Frederike Neise

Download or read book Risk Management in Stochastic Integer Programming written by Frederike Neise and published by Vieweg+Teubner Verlag. This book was released on 2008-07-28 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author presents two concepts to handle the classic linear mixed-integer two-stage stochastic optimization problem. She describes mean-risk modeling and stochastic programming with first order dominance constraints. Both approaches are applied to optimize the operation of a dispersed generation system.

Improving Disaster Resilience and Mitigation - IT Means and Tools

Author : Horia-Nicolai Teodorescu
Publisher : Springer
ISBN 13 : 9401791368
Total Pages : 350 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Improving Disaster Resilience and Mitigation - IT Means and Tools by : Horia-Nicolai Teodorescu

Download or read book Improving Disaster Resilience and Mitigation - IT Means and Tools written by Horia-Nicolai Teodorescu and published by Springer. This book was released on 2014-09-08 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this volume is comprised of the fundamentals, models, and information technologies (IT) methods and tools for disaster prediction and mitigation. A more detailed list of topics includes mathematical and computational modeling of processes leading to or producing disasters, modeling of disaster effects, IT means for disaster mitigation, including data mining tools, knowledge-based and expert systems for use in disaster circumstances, GIS-based systems for disaster prevention and mitigation and equipment for disaster-prone areas. A specific type or class of disasters (natural or human-made), however will not be part of the main focus of this work. Instead, this book was conceived to offer a comprehensive, integrative view on disasters, seeking to determine what various disasters have in common. Because disaster resilience and mitigation involve humans, societies and cultures, not only technologies and economic models, special attention was paid in this volume to gain a comprehensive view on these issues, as a foundation of the IT tool design.