=============================================== 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.bipolar.60===============================================Parameter Values:Description                                                Identifier                 Type       Value   ----------------------------------------------------------------------------------------------------------------Size of the population                                     populationSize             long       2000The 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 (3deceptive Bipolar)Size of the problem (of one dimension)                     problemSize                int        60Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       90Maximal 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      75.000000Maximal number of incoming edges in dep. graph for the BOA maxIncoming                int        5Wait for enter after printing out generation statistics?   pause                      char       0Output file name                                           outputFile                 char*      output.bipolar.60Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000Random Seed                                                randSeed                   long       123--------------------------------------------------------Generation                   : 0Fitness evaluations          : 2000Fitness (max/avg/min)        : (9.099999 6.863800 2.600000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000--------------------------------------------------------Generation                   : 1Fitness evaluations          : 3000Fitness (max/avg/min)        : (9.099999 7.339151 2.600000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000--------------------------------------------------------Generation                   : 2Fitness evaluations          : 4000Fitness (max/avg/min)        : (9.099999 7.658951 4.300000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000--------------------------------------------------------Generation                   : 3Fitness evaluations          : 5000Fitness (max/avg/min)        : (9.099999 7.802701 3.500000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000--------------------------------------------------------Generation                   : 4Fitness evaluations          : 6000Fitness (max/avg/min)        : (9.200000 8.091701 4.400000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110--------------------------------------------------------Generation                   : 5Fitness evaluations          : 7000Fitness (max/avg/min)        : (9.200000 8.377801 5.700000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110--------------------------------------------------------Generation                   : 6Fitness evaluations          : 8000Fitness (max/avg/min)        : (9.200000 8.488051 6.600001)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110--------------------------------------------------------Generation                   : 7Fitness evaluations          : 9000Fitness (max/avg/min)        : (9.200000 8.568850 6.700001)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110--------------------------------------------------------Generation                   : 8Fitness evaluations          : 10000Fitness (max/avg/min)        : (9.400000 8.637000 6.700000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 9Fitness evaluations          : 11000Fitness (max/avg/min)        : (9.400000 8.560350 6.000000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 10Fitness evaluations          : 12000Fitness (max/avg/min)        : (9.400000 8.529950 5.200000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 11Fitness evaluations          : 13000Fitness (max/avg/min)        : (9.400000 8.602700 6.000000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 12Fitness evaluations          : 14000Fitness (max/avg/min)        : (9.400000 8.641050 5.800000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 13Fitness evaluations          : 15000Fitness (max/avg/min)        : (9.400000 8.649700 6.000000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 14Fitness evaluations          : 16000Fitness (max/avg/min)        : (9.400000 8.635250 6.000000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000--------------------------------------------------------Generation                   : 15Fitness evaluations          : 17000Fitness (max/avg/min)        : (9.400000 8.772100 6.400000)Percentage of optima in pop. : 0.00Population bias              : ............................................................Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000