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#                          pg_geqo                                  *
#                          -------                                  =
#                                                                   *
#             Example Genetic Algorithm config file                 =
#                     for the PostgreSQL                            *
#            Genetic Query Optimization (GEQO) module               =
#                                                                   *
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# Martin Utesch		      * Institute of Automatic Control      *
#                             = University of Mining and Technology =
# utesch@aut.tu-freiberg.de   * Freiberg, Germany                   *
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# this file should be '$PGDATA/pg_geqo', but it doesn't have
# to exist

# comment character is '#'
#
# separator between recognized tag and possible value
# must be white space

# qs: means query size, which is the number of relations
#     contained in a query

#=================+===================+=============================+
# RECOGNIZED TAGS |  POSSIBLE VALUES  |          DEFAULTS           |
#=================+===================+=============================+
# 'Pool_Size'     | positive int      | 2^(qs+1)                    |
#-----------------+-------------------+-----------------------------+
# 'Effort'        | [low,medium,high] | medium                      |
#-----------------+-------------------+-----------------------------+
# 'Generations'   | positive int      | 'Effort' * log2('Pool_Size')|
#-----------------+-------------------+-----------------------------+
# 'Selection_Bias'| [1.50; 2.00]      | 2.0                         |
#-----------------+-------------------+-----------------------------+
# 'Random_Seed'   | positive long     | time(NULL)                  |
#=================+===================+=============================+

# 'Pool_Size' is essential for the genetic algorithm performance.
# It gives us the number of individuals within one population.
#
# 'Effort' 'low' means integer value of 1, 'medium' 40, and 'high' 80.
#
# 'Generations' gives us the stopping criterion for the number
# of iterations within the genetic algorithm.
#
# 'Selection_Bias' gives us the selective pressure within the
# population.
#
# 'Random_Seed' is the random seed for the random() function.
# You don't have to set it.

# All parameters will be computed within the GEQO module when they
# are not set in the pg_geqo file.


# Example pg_geqo settings:
#
#Pool_Size            128
#Effort               low
#Generations          200
#Random_Seed          830518260
#Selection_Bias       1.750000