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System and method for strategic budgeting of initial response for managing wildfires

Inactive Publication Date: 2006-07-20
IBM CORP
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  • Application Information

AI Technical Summary

Benefits of technology

[0036] The model produces robust optimal decisions in the face of uncertainty; and
[0037] The solution approach for the resulting very large scale optimization model instances is time and memory effective, and it scales well with the problem instance size.

Problems solved by technology

Due to the constraint that each resource can be assigned to only one of the simultaneous fires, there is competition among simultaneous fires for available resources.

Method used

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  • System and method for strategic budgeting of initial response for managing wildfires
  • System and method for strategic budgeting of initial response for managing wildfires
  • System and method for strategic budgeting of initial response for managing wildfires

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Embodiment Construction

[0041] Referring now to the drawings, and more particularly to FIG. 1, there is shown scenarios 10 comprised of fire groups 20, each of which is in turn comprised of simultaneously occurring representative fires 30. Also shown are resources 40 which can be assigned to only one of the simultaneous fires, resulting in competition among simultaneous fires for available resources.

[0042] Referring now to FIG. 2, there is shown a two-phase optimization problem 200 which receives optimization input 100 on which is performed a phase one 210 decomposition using an off-the-shelf problem solver 300 to produce a deployment solution 230, which optimally deploys resources to the fires to discover their resource preferences, and a phase two 250 global problem optimization, which uses said off-the-shelf problem solver 300 to solve the global problem and employs the deployment preference decisions made in phase one to analyze and come up with an optimization output 400 including the optimal initial...

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Abstract

The present invention provides a system and method for strategic budgeting of initial response for managing wildfires. According to the present invention, stochastic-integer-programming-based constrained optimization techniques are employed to develop a strategic budget by optimally allocating disaster management resources to disaster events belonging to scenarios associated with occurrence probabilities. According to the invention, certain machine-readable data describing fires may be subjected to computerized data processing, ultimately producing a determination of valid disaster management resources for each fire event, which may be used for strategic budgeting of initial responses for managing wildfires.

Description

BACKGROUND OF THE INVENTION [0001] 1. Field of the Invention [0002] The present invention relates to computer-implemented stochastic optimization modeling, and more particularly, to the use of computer implemented stochastic optimization modeling to solve problems arising in connection with budgeting initial responses for managing wildfires. [0003] 2. Background Description [0004] An enterprise charged with the management of wildfires typically confronts multiple scenarios corresponding to representative wild-land fires occurring in different fire planning seasons. Each such scenario is contingent in the sense that wildfire managers are unable to predict wildfires. [0005] Prior art solutions have involved running a large number of simulations of annual fire season scenarios and evaluating (using a predetermined deployment plan) a candidate resource organization against the samples. Such approaches suffer from two types of problems. First, the solution quality is tied to the choice o...

Claims

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Application Information

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IPC IPC(8): G06F9/46
CPCG06Q10/06G06Q10/063G06Q50/188
Inventor KUMAR, TARUNPARIJA, GYANA RANJANXI, HAIFENG
Owner IBM CORP
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