[Couenne] Rounding NLP heuristic

[Giacomo Nannicini]

Akshay,
typically what I do when I am only interested in heuristics, is to set
the maximum number of nodes to 0 (the option is: node_limit 0).
However, as far as I know the default heuristic Couenne Rounding NLP
needs candidate points discovered during Branch-and-Bound as input. If
you stop at the root node, you will not have many candidates. Try to
branch for a large enough number of nodes with a fast branching
strategy, to get many candidate points.

You should also consider using some of the other available heuristics
(FeasibilityPump and IterativeRounding). Those can do a lot of work
just at the root node.

Giacomo

On Mon, Mar 28, 2011 at 5:09 PM, Akshay Gupte <akshayg at gatech.edu> wrote:
> Hi all,
> Is there an option to run only the rounding heuristic within Couenne for a specified amount of time ? I am particularly interested in finding feasible solutions to my model.
>
> Regards,
> Akshay Gupte
>
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