From e75d99818dd3940be997520e64db8c9e3b207e39 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Tue, 21 May 2024 07:05:26 +0200 Subject: Merging upstream version 15.7. 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 1f39468..a4754a4 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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