From b4b8efbd3826ac0af2d1c2e7c40fcf80a4bfba45 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Sat, 4 May 2024 14:18:03 +0200 Subject: Adding upstream version 15.6. Signed-off-by: Daniel Baumann --- doc/src/sgml/html/geqo-pg-intro.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'doc/src/sgml/html/geqo-pg-intro.html') diff --git a/doc/src/sgml/html/geqo-pg-intro.html b/doc/src/sgml/html/geqo-pg-intro.html index 991acc1..1f39468 100644 --- a/doc/src/sgml/html/geqo-pg-intro.html +++ b/doc/src/sgml/html/geqo-pg-intro.html @@ -1,5 +1,5 @@ -62.3. Genetic Query Optimization (GEQO) in PostgreSQL
62.3. Genetic Query Optimization (GEQO) in PostgreSQL
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62.3. Genetic Query Optimization (GEQO) in PostgreSQL

62.3.1. Generating Possible Plans with GEQO
62.3.2. Future Implementation Tasks for +62.3. Genetic Query Optimization (GEQO) in PostgreSQL
62.3. Genetic Query Optimization (GEQO) in PostgreSQL
Prev UpChapter 62. Genetic Query OptimizerHome Next

62.3. Genetic Query Optimization (GEQO) in PostgreSQL

62.3.1. Generating Possible Plans with GEQO
62.3.2. Future Implementation Tasks for PostgreSQL GEQO

The GEQO module approaches the query optimization problem as though it were the well-known traveling salesman @@ -104,4 +104,4 @@ of the rest of the tour, but this is certainly not true for query optimization. Thus it is questionable whether edge recombination crossover is the most effective mutation procedure. -

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62.2. Genetic Algorithms Home 62.4. Further Reading
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62.2. Genetic Algorithms Home 62.4. Further Reading
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