r-help,
I'm currently using 'lp.transport' from 'lpSolve' to solve a transportation
problem. However, I've experienced some performence issues, and have been told
that other solvers may perform better. I've looked briefly at 'Rsymphony' and
'rglpk', but I can't seem to figure out how/if they solve transportation
problems...
So, is there an 'Rsymphony' and/or 'rglpk' equivalent to:
library(lpSolve)
x <- matrix(c(.91,.32,.86,.14,.59,.36,.67,.34,.87,.56,.10,.09),ncol=3,byrow=T)
lp.transport(x, "min" , rep("==",4) , rep(1,4) , rep(">=",3) , rep(1,3)
)$solution
...and, if so, does in generally outperform 'lp.transport'? And if not, are
there any other R packages that solve transportation problems more efficient
than 'lpSolve'?
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