heuristic_model: Model to solve the problem of Aircraft Selection and...

Description Usage Arguments Value Examples

Description

Model to solve the problem of Aircraft Selection and Allocation (ASA) for the containment of a wildfire in a heuristic way.

Usage

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heuristic_model(data, M_prime = 1e+06, niters = 10, solver = "gurobi",
  solver_params = list(TimeLimit = 600, OutputFlag = 0), verbose = 0)

Arguments

data

a list with the needed information about aircrafts and wildfire. For more information see example_data function.

M_prime

penalization for the breach of the minimum aircrafts on a wildfire.

niters

maximum number of iterations.

solver

solver name, 'gurobi', 'Rsymphony' or 'lpSolve'.

solver_params

list of gurobi options. Defaults to list(TimeLimit=600, OutputFlag = 0).

verbose

logging level information. If 0 no information.

Value

information about the selection and allocation of the aircrafts.

Examples

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data <- example_data()
asa::heuristic_model(data, solver="lpSolveAPI")

jorgerodriguezveiga/WildfireResources documentation built on May 31, 2019, 2:49 p.m.