📄 output.trap5.90.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.trap5.90
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Parameter Values:
Description Identifier Type Value
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Size of the population populationSize long 5200
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 90
Maximal Number of Generations to Perform maxNumberOfGenerations long 80
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.trap5.90
Threshold for guidance (closeness to 0,1) guidanceThreshold float 0.300000
Random Seed randSeed long 123
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Generation : 0
Fitness evaluations : 5200
Fitness (max/avg/min) : (49.000000 30.391923 13.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 101000011011111010010100011000011010010000110100001111100010100011011001010111110100000001
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Generation : 1
Fitness evaluations : 7800
Fitness (max/avg/min) : (49.000000 33.542692 14.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 101000011011111010010100011000011010010000110100001111100010100011011001010111110100000001
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Generation : 2
Fitness evaluations : 10400
Fitness (max/avg/min) : (58.000000 36.275962 18.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 010101000001000000111111110011000001111110001010001010111111111110010011111000001001100000
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Generation : 3
Fitness evaluations : 13000
Fitness (max/avg/min) : (59.000000 38.990577 22.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 000010110000011000010010101000111111111100101001001000111111111111111110000100000001100000
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Generation : 4
Fitness evaluations : 15600
Fitness (max/avg/min) : (60.000000 42.098654 26.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 100110010001000111110010111111001000000000001111110000000010010100101001100000000000011111
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Generation : 5
Fitness evaluations : 18200
Fitness (max/avg/min) : (68.000000 45.436346 26.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111111100100000000010010000000001111111111000110010110000010001111100000010011111111111
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Generation : 6
Fitness evaluations : 20800
Fitness (max/avg/min) : (68.000000 48.693269 29.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111111100100000000010010000000001111111111000110010110000010001111100000010011111111111
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Generation : 7
Fitness evaluations : 23400
Fitness (max/avg/min) : (70.000000 52.107115 35.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 001101111111111000001111111111000000010011111000101110000100111111111100010010101111111111
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Generation : 8
Fitness evaluations : 26000
Fitness (max/avg/min) : (72.000000 55.660385 37.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 010001111100000111111111111111111110100010000111110100111111110010001111111111111111100000
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Generation : 9
Fitness evaluations : 28600
Fitness (max/avg/min) : (78.000000 59.050769 41.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111111111111111110100001000000000000000000111110001011111111111111111111000001111100001
--------------------------------------------------------
Generation : 10
Fitness evaluations : 31200
Fitness (max/avg/min) : (78.000000 62.317308 43.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111111111111111110100001000000000000000000111110001011111111111111111111000001111100001
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Generation : 11
Fitness evaluations : 33800
Fitness (max/avg/min) : (82.000000 65.502308 48.000000)
Percentage of optima in pop. : 0.00
Population bias : ..........................................................................................
Best solution in the pop. : 111111111111111111111111111111000100000011111111111111111111000001111111111010011111100000
--------------------------------------------------------
Generation : 12
Fitness evaluations : 36400
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