=============================================== Simple Bayesian Optimization Algorithm in C++ Version 1.0 (Released in March 1999) Copyright (c) 1999 Martin Pelikan Author: Martin Pelikan----------------------------------------------- Parameter values from: input.quadratic.60===============================================Parameter Values:Description                                                Identifier                 Type       Value   ----------------------------------------------------------------------------------------------------------------Size of the population                                     populationSize             long       400The number of parents to select (% from population)        parentsPercentage          float      50.000000Size of offspring to create (% from population)            offspringPercentage        float      50.000000Number of fitness function to use                          fitnessFunction            int        0 (Quadratic 0.9 0 0 1)Size of the problem (of one dimension)                     problemSize                int        60Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       60Maximal Number of Fitness Calls (-1 when unbounded)        maxFitnessCalls            long       -1Termination threshold for the univ. freq. (-1 is ignore)   epsilon                    float      0.010000Stop if the optimum was found?                             stopWhenFoundOptimum       char       0 (No)Percentage of opt. and nonopt. ind. threshold (-1 is ignore) maxOptimal                 float      -1.000000Maximal number of incoming edges in dep. graph for the BOA maxIncoming                int        1Wait for enter after printing out generation statistics?   pause                      char       0Output file name                                           outputFile                 char*      output.quadratic.60Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000Random Seed                                                randSeed                   long       123--------------------------------------------------------Generation                   : 0Fitness evaluations          : 400Fitness (max/avg/min)        : (22.499996 14.254749 6.500000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 001000110000100111110000001111001000100011111101001100000000--------------------------------------------------------Generation                   : 1Fitness evaluations          : 600Fitness (max/avg/min)        : (22.499996 16.168749 9.400000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 110001010011000000001110001111000011011011000000100000111100--------------------------------------------------------Generation                   : 2Fitness evaluations          : 800Fitness (max/avg/min)        : (23.599997 17.424999 9.400000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 111011001111001001011000000011110000110011110000000000111100--------------------------------------------------------Generation                   : 3Fitness evaluations          : 1000Fitness (max/avg/min)        : (25.399998 18.791998 12.599998)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 111111111111111111100011000011110110110011110100111100111111--------------------------------------------------------Generation                   : 4Fitness evaluations          : 1200Fitness (max/avg/min)        : (25.599997 20.299998 13.899998)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 111100000011000011110000000010111111001101110000001000111111--------------------------------------------------------Generation                   : 5Fitness evaluations          : 1400Fitness (max/avg/min)        : (27.299997 21.691748 11.600000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 111111001111111011110000110011111100111111111111001111110100--------------------------------------------------------Generation                   : 6Fitness evaluations          : 1600Fitness (max/avg/min)        : (27.899998 23.090998 17.999998)Percentage of optima in pop. : 0.00Population bias              : ...............0............11..............................Best solution in the pop.    : 000011111100110011111111101111111111110011110000001100110000--------------------------------------------------------Generation                   : 7Fitness evaluations          : 1800Fitness (max/avg/min)        : (28.599995 24.408748 19.299999)Percentage of optima in pop. : 0.00Population bias              : ...............0............11..............................Best solution in the pop.    : 111111110011110011111111000000001100001100111111000000001100--------------------------------------------------------Generation                   : 8Fitness evaluations          : 2000Fitness (max/avg/min)        : (29.399998 25.655497 20.799997)Percentage of optima in pop. : 0.00Population bias              : ...............011..........11..............................Best solution in the pop.    : 111111111111110011111100001111000000111111111111111111111111--------------------------------------------------------Generation                   : 9Fitness evaluations          : 2200Fitness (max/avg/min)        : (29.399998 26.833497 22.499998)Percentage of optima in pop. : 0.00Population bias              : ..............0011..........11...........111....1...........Best solution in the pop.    : 111111111111110011111100001111000000111111111111111111111111--------------------------------------------------------Generation                   : 10Fitness evaluations          : 2400Fitness (max/avg/min)        : (29.599998 27.678748 24.699997)Percentage of optima in pop. : 0.00Population bias              : ......1.......0011..11......11...........11111..1...........Best solution in the pop.    : 111111111111110011111111110011111111111111001111111111111100--------------------------------------------------------Generation                   : 11Fitness evaluations          : 2600Fitness (max/avg/min)        : (29.599998 28.404998 25.599997)Percentage of optima in pop. : 0.00Population bias              : ......1111....00111.11......11..11........1111..11..11......Best solution in the pop.    : 111111111111110011111111110011111111111111001111111111111100--------------------------------------------------------Generation                   : 12Fitness evaluations          : 2800Fitness (max/avg/min)        : (29.599998 28.880748 27.499996)Percentage of optima in pop. : 0.00Population bias              : 11....1111....00111111......11..11........1111..11..11......Best solution in the pop.    : 111111111111110011111111110011111111111111001111111111111100--------------------------------------------------------Generation                   : 13Fitness evaluations          : 3000Fitness (max/avg/min)        : (29.699999 29.099498 28.399996)Percentage of optima in pop. : 0.00Population bias              : 11....1111111100111111......111111......111111..11..11..11..Best solution in the pop.    : 111111111111110011111100110011111111111111111111111111111111--------------------------------------------------------Generation                   : 14Fitness evaluations          : 3200Fitness (max/avg/min)        : (29.699999 29.252248 28.699997)Percentage of optima in pop. : 0.00Population bias              : 1111..1111111100111111..11..11111111..11111111..111111111111Best solution in the pop.    : 111111111111110011111100110011111111111111111111111111111111--------------------------------------------------------Generation                   : 15Fitness evaluations          : 3400Fitness (max/avg/min)        : (29.900000 29.384249 28.699997)Percentage of optima in pop. : 0.00Population bias              : 1111..1111111100111111..11..11111111..11111111..111111111111Best solution in the pop.    : 111111111111110011111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 16Fitness evaluations          : 3600Fitness (max/avg/min)        : (29.900000 29.500499 28.999996)Percentage of optima in pop. : 0.00Population bias              : 1111..1111111100111111..11..11111111..11111111..111111111111Best solution in the pop.    : 111111111111110011111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 17Fitness evaluations          : 3800Fitness (max/avg/min)        : (30.000000 29.603749 29.099998)Percentage of optima in pop. : 0.25Population bias              : 1111111111111100111111..11..11111111..1111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 18Fitness evaluations          : 4000Fitness (max/avg/min)        : (30.000000 29.704749 29.199999)Percentage of optima in pop. : 0.50Population bias              : 11111111111111..111111..111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 19Fitness evaluations          : 4200Fitness (max/avg/min)        : (30.000000 29.793749 29.499998)Percentage of optima in pop. : 2.75Population bias              : 11111111111111..11111111111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 20Fitness evaluations          : 4400Fitness (max/avg/min)        : (30.000000 29.858499 29.599998)Percentage of optima in pop. : 10.00Population bias              : 11111111111111..11111111111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 21Fitness evaluations          : 4600Fitness (max/avg/min)        : (30.000000 29.918750 29.699999)Percentage of optima in pop. : 26.00Population bias              : 11111111111111..11111111111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 22Fitness evaluations          : 4800Fitness (max/avg/min)        : (30.000000 29.953250 29.699999)Percentage of optima in pop. : 56.00Population bias              : 111111111111111111111111111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111--------------------------------------------------------Generation                   : 23Fitness evaluations          : 5000Fitness (max/avg/min)        : (30.000000 30.000000 30.000000)Percentage of optima in pop. : 100.00Population bias              : 111111111111111111111111111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111=================================================================FINAL STATISTICSTermination reason           : Bit convergence (with threshold epsilon)Generations performed        : 23Fitness evaluations          : 5000Fitness (max/avg/min)        : (30.000000 30.000000 30.000000)Percentage of optima in pop. : 100.00Population bias              : 111111111111111111111111111111111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111111111111111111111111111111111The End.