| From: | Jaime Casanova <jaime(at)2ndquadrant(dot)com> |
|---|---|
| To: | alejandro <boix(at)uclv(dot)cu> |
| Cc: | PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org> |
| Subject: | Re: Improving GEQO |
| Date: | 2015-05-20 18:10:12 |
| Message-ID: | CAJKUy5j9=Bo-cVmDsN6O-pRbff-3Q=bXLEbKB9+7OH317fp6ig@mail.gmail.com |
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| Lists: | pgsql-hackers |
On Wed, May 20, 2015 at 1:06 PM, alejandro <boix(at)uclv(dot)cu> wrote:
> hello, my partner and me are working with the goal of improve the GEQO's
> performance, we tried with Ant Colony Optimization, but it does not improve,
> actually we are trying with a new variant of Genetic Algorithm, specifically
> Micro-GA. This algorithm finds a better solution than GEQO in less time,
> however the total query execution time is higher. The fitness is calculated
> by geqo_eval function. Does anybody know why this happens?
>
It will be difficult for anyone here to figure out anything without
the code to look at
--
Jaime Casanova www.2ndQuadrant.com
Professional PostgreSQL: Soporte 24x7 y capacitación
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