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Example

Let us now turn our attention to an example of using Gurobi to solve a simple MIP model. Our example optimizes the following model:

maximize	x	+	y	+	2 z
subject to	x	+	2 y	+	3 z		4
	x	+	y				1
	x, y, z binary

This is the complete source code for our example (also available in <installdir>/examples/R/mip.R)...

library('gurobi')

model <- list()

model$A          <- matrix(c(1,2,3,1,1,0), nrow=2, ncol=3, byrow=T)
model$obj        <- c(1,1,2)
model$modelsense <- "max"
model$rhs        <- c(4,1)
model$sense      <- c('<', '>')
model$vtype      <- 'B'

params <- list(OutputFlag=0)

result <- gurobi(model, params)

print('Solution:')
print(result$objval)
print(result$x)

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Next: Example details Up: R Interface Previous: Installing the R Package