=============================================== 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.onemax.30===============================================Parameter Values:Description                                                Identifier                 Type       Value   ----------------------------------------------------------------------------------------------------------------Size of the population                                     populationSize             long       50The 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 (ONEMAX)Size of the problem (of one dimension)                     problemSize                int        30Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       40Maximal 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        0Wait for enter after printing out generation statistics?   pause                      char       0Output file name                                           outputFile                 char*      output.onemax.30Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000Random Seed                                                randSeed                   long       123--------------------------------------------------------Generation                   : 0Fitness evaluations          : 50Fitness (max/avg/min)        : (22.000000 15.320000 8.000000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 011001101110110111111011111011--------------------------------------------------------Generation                   : 1Fitness evaluations          : 75Fitness (max/avg/min)        : (22.000000 17.920000 14.000000)Percentage of optima in pop. : 0.00Population bias              : 11......0.1...............1...Best solution in the pop.    : 011001101110110111111011111011--------------------------------------------------------Generation                   : 2Fitness evaluations          : 100Fitness (max/avg/min)        : (25.000000 19.620000 13.000000)Percentage of optima in pop. : 0.00Population bias              : 11....1...1..111....1.....1...Best solution in the pop.    : 111101110111011111101111111110--------------------------------------------------------Generation                   : 3Fitness evaluations          : 125Fitness (max/avg/min)        : (25.000000 21.280000 15.000000)Percentage of optima in pop. : 0.00Population bias              : 111...1..11..1.11...11...111..Best solution in the pop.    : 111101110111011111101111111110--------------------------------------------------------Generation                   : 4Fitness evaluations          : 150Fitness (max/avg/min)        : (28.000000 23.160000 20.000000)Percentage of optima in pop. : 0.00Population bias              : 11111111.11..1.1111.1.1.11111.Best solution in the pop.    : 111111110110111111111111111111--------------------------------------------------------Generation                   : 5Fitness evaluations          : 175Fitness (max/avg/min)        : (28.000000 24.600000 20.000000)Percentage of optima in pop. : 0.00Population bias              : 11111111.11..111111.111..1111.Best solution in the pop.    : 111111110110111111111111111111--------------------------------------------------------Generation                   : 6Fitness evaluations          : 200Fitness (max/avg/min)        : (29.000000 25.720000 20.000000)Percentage of optima in pop. : 0.00Population bias              : 11111111.11..111111.111.111111Best solution in the pop.    : 111111111111111111101111111111--------------------------------------------------------Generation                   : 7Fitness evaluations          : 225Fitness (max/avg/min)        : (29.000000 26.960000 23.000000)Percentage of optima in pop. : 0.00Population bias              : 11111111.11..111111.111.111111Best solution in the pop.    : 111111111111111111101111111111--------------------------------------------------------Generation                   : 8Fitness evaluations          : 250Fitness (max/avg/min)        : (30.000000 27.880000 24.000000)Percentage of optima in pop. : 4.00Population bias              : 11111111111.11111111111.111111Best solution in the pop.    : 111111111111111111111111111111--------------------------------------------------------Generation                   : 9Fitness evaluations          : 275Fitness (max/avg/min)        : (30.000000 28.700000 25.000000)Percentage of optima in pop. : 18.00Population bias              : 11111111111.111111111111111111Best solution in the pop.    : 111111111111111111111111111111--------------------------------------------------------Generation                   : 10Fitness evaluations          : 300Fitness (max/avg/min)        : (30.000000 29.260000 28.000000)Percentage of optima in pop. : 34.00Population bias              : 11111111111.111111111111111111Best solution in the pop.    : 111111111111111111111111111111--------------------------------------------------------Generation                   : 11Fitness evaluations          : 325Fitness (max/avg/min)        : (30.000000 29.700000 28.000000)Percentage of optima in pop. : 72.00Population bias              : 111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111--------------------------------------------------------Generation                   : 12Fitness evaluations          : 350Fitness (max/avg/min)        : (30.000000 30.000000 30.000000)Percentage of optima in pop. : 100.00Population bias              : 111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111=================================================================FINAL STATISTICSTermination reason           : Bit convergence (with threshold epsilon)Generations performed        : 12Fitness evaluations          : 350Fitness (max/avg/min)        : (30.000000 30.000000 30.000000)Percentage of optima in pop. : 100.00Population bias              : 111111111111111111111111111111Best solution in the pop.    : 111111111111111111111111111111The End.