[Couenne] Rounding NLP heuristic

[Pietro Belotti]

Akshay,

just to add to what Giacomo said: FP is still under development and not 
usable at all.

Pietro

--
Pietro Belotti
Dept. of Mathematical Sciences
Clemson University
email: pbelott at clemson.edu
phone: 864-656-6765
web:   myweb.clemson.edu/~pbelott

On Mon, 28 Mar 2011, Giacomo Nannicini wrote:

> Both FP and IR are in Couenne trunk. I do not know if they are
> released in stable yet.
> IR is working in trunk, but it is *highly* recommended to compile with
> Cplex if you want to use it.
>
> Giacomo
>
> On Mon, Mar 28, 2011 at 5:32 PM, Akshay Gupte <akshayg at gatech.edu> wrote:
>> Giacomo,
>> Thanks for the tip. I will try the branching idea.
>>
>> Are FP and IR codes publicly available within Couenne or otherwise ?
>>
>> Regards,
>> Akshay Gupte
>> PhD student, Operations Research
>> Georgia Institute of Technology
>> akshayg at gatech.edu
>>
>>
>>
>>
>>
>>
>> On Mar 28, 2011, at 5:29 PM, Giacomo Nannicini wrote:
>>
>>> 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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>>>>
>>
>>
>
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