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sos.R
# Copyright 2020, Gurobi Optimization, LLC # # This example formulates and solves the following simple SOS model: # maximize # 2 x + y + z # subject to # x1 = 0 or x2 = 0 (SOS1 constraint) # x1 = 0 or x3 = 0 (SOS1 constraint) # x1 <= 1, x2 <= 1, x3 <= 2 library(gurobi) model <- list() model$A <- matrix(c(0,0,0), nrow=1, byrow=T) model$obj <- c(2,1,1) model$modelsense <- 'max' model$ub <- c(1,1,2) model$rhs <- c(0) model$sense <- c('=') # First SOS: x1 = 0 or x2 = 0 sos1 <- list() sos1$type <- 1 sos1$index <- c(1, 2) sos1$weight <- c(1, 2) # Second SOS: x1 = 0 or x3 = 0 sos2 <- list() sos2$type <- 1 sos2$index <- c(1, 3) sos2$weight <- c(1, 2) model$sos <- list(sos1, sos2) result <- gurobi(model) print(result$objval) print(result$x) # Clear space rm(model, result)
