📄 output.trap5.30.log
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Simple Bayesian Optimization Algorithm in C++
Version 1.0 (Released in March 1999)
Copyright (c) 1999 Martin Pelikan
Author: Martin Pelikan
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Parameter values from: input.trap5.30
===============================================
Parameter Values:
Description Identifier Type Value
----------------------------------------------------------------------------------------------------------------
Size of the population populationSize long 1300
The number of parents to select (% from population) parentsPercentage float 50.000000
Size of offspring to create (% from population) offspringPercentage float 50.000000
Number of fitness function to use fitnessFunction int 0 (5-ORDER TRAP (Illinois Report No. 95008))
Size of the problem (of one dimension) problemSize int 30
Maximal Number of Generations to Perform maxNumberOfGenerations long 40
Maximal Number of Fitness Calls (-1 when unbounded) maxFitnessCalls long -1
Termination threshold for the univ. freq. (-1 is ignore) epsilon float 0.010000
Stop if the optimum was found? stopWhenFoundOptimum char 0 (No)
Percentage of opt. and nonopt. ind. threshold (-1 is ignore) maxOptimal float -1.000000
Maximal number of incoming edges in dep. graph for the BOA maxIncoming int 4
Wait for enter after printing out generation statistics? pause char 0
Output file name outputFile char* output.trap5.30
Threshold for guidance (closeness to 0,1) guidanceThreshold float 0.300000
Random Seed randSeed long 123
--------------------------------------------------------
Generation : 0
Fitness evaluations : 1300
Fitness (max/avg/min) : (20.000000 10.033846 1.000000)
Percentage of optima in pop. : 0.00
Population bias : ..............................
Best solution in the pop. : 111110000101000000111000000000
--------------------------------------------------------
Generation : 1
Fitness evaluations : 1950
Fitness (max/avg/min) : (22.000000 11.893846 1.000000)
Percentage of optima in pop. : 0.00
Population bias : ..............................
Best solution in the pop. : 100111111100001000011111111111
--------------------------------------------------------
Generation : 2
Fitness evaluations : 2600
Fitness (max/avg/min) : (22.000000 13.595385 5.000000)
Percentage of optima in pop. : 0.00
Population bias : ..............................
Best solution in the pop. : 100111111100001000011111111111
--------------------------------------------------------
Generation : 3
Fitness evaluations : 3250
Fitness (max/avg/min) : (26.000000 15.409231 8.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........0...................
Best solution in the pop. : 111111111100000000100000011111
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Generation : 4
Fitness evaluations : 3900
Fitness (max/avg/min) : (27.000000 17.164615 7.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........0...................
Best solution in the pop. : 111110000011111111111000011111
--------------------------------------------------------
Generation : 5
Fitness evaluations : 4550
Fitness (max/avg/min) : (29.000000 18.983077 11.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........0.0.................
Best solution in the pop. : 111111111111111000001111111111
--------------------------------------------------------
Generation : 6
Fitness evaluations : 5200
Fitness (max/avg/min) : (29.000000 20.842308 14.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........0.0.................
Best solution in the pop. : 111111111111111000001111111111
--------------------------------------------------------
Generation : 7
Fitness evaluations : 5850
Fitness (max/avg/min) : (29.000000 22.517692 15.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........0.0.................
Best solution in the pop. : 111111111111111000001111111111
--------------------------------------------------------
Generation : 8
Fitness evaluations : 6500
Fitness (max/avg/min) : (29.000000 24.113077 14.000000)
Percentage of optima in pop. : 0.00
Population bias : ..............................
Best solution in the pop. : 111111111111111000001111111111
--------------------------------------------------------
Generation : 9
Fitness evaluations : 7150
Fitness (max/avg/min) : (29.000000 25.492308 20.000000)
Percentage of optima in pop. : 0.00
Population bias : ...........................1..
Best solution in the pop. : 111111111111111000001111111111
--------------------------------------------------------
Generation : 10
Fitness evaluations : 7800
Fitness (max/avg/min) : (29.000000 26.530769 19.000000)
Percentage of optima in pop. : 0.00
Population bias : .........................11111
Best solution in the pop. : 111111111111111111110000011111
--------------------------------------------------------
Generation : 11
Fitness evaluations : 8450
Fitness (max/avg/min) : (30.000000 27.408462 24.000000)
Percentage of optima in pop. : 0.23
Population bias : 11111....................11111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 12
Fitness evaluations : 9100
Fitness (max/avg/min) : (30.000000 27.973077 25.000000)
Percentage of optima in pop. : 0.38
Population bias : 1111111111...............11111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 13
Fitness evaluations : 9750
Fitness (max/avg/min) : (30.000000 28.293077 24.000000)
Percentage of optima in pop. : 0.77
Population bias : 1111111111..........1111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 14
Fitness evaluations : 10400
Fitness (max/avg/min) : (30.000000 28.624615 25.000000)
Percentage of optima in pop. : 1.54
Population bias : 111111111111111.....1111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 15
Fitness evaluations : 11050
Fitness (max/avg/min) : (30.000000 29.012308 26.000000)
Percentage of optima in pop. : 3.08
Population bias : 111111111111111000001111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 16
Fitness evaluations : 11700
Fitness (max/avg/min) : (30.000000 29.056923 26.000000)
Percentage of optima in pop. : 6.54
Population bias : 111111111111111000001111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 17
Fitness evaluations : 12350
Fitness (max/avg/min) : (30.000000 29.120769 27.000000)
Percentage of optima in pop. : 12.92
Population bias : 111111111111111.....1111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 18
Fitness evaluations : 13000
Fitness (max/avg/min) : (30.000000 29.256154 27.000000)
Percentage of optima in pop. : 26.23
Population bias : 111111111111111.....1111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 19
Fitness evaluations : 13650
Fitness (max/avg/min) : (30.000000 29.517692 27.000000)
Percentage of optima in pop. : 52.08
Population bias : 111111111111111.....1111111111
Best solution in the pop. : 111111111111111111111111111111
--------------------------------------------------------
Generation : 20
Fitness evaluations : 14300
Fitness (max/avg/min) : (30.000000 30.000000 30.000000)
Percentage of optima in pop. : 100.00
Population bias : 111111111111111111111111111111
Best solution in the pop. : 111111111111111111111111111111
=================================================================
FINAL STATISTICS
Termination reason : Bit convergence (with threshold epsilon)
Generations performed : 20
Fitness evaluations : 14300
Fitness (max/avg/min) : (30.000000 30.000000 30.000000)
Percentage of optima in pop. : 100.00
Population bias : 111111111111111111111111111111
Best solution in the pop. : 111111111111111111111111111111
The End.
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