=============================================== 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.30===============================================Parameter Values:Description                                                Identifier                 Type       Value   ----------------------------------------------------------------------------------------------------------------Size of the population                                     populationSize             long       900The 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        30Maximal 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      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.30Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000Random Seed                                                randSeed                   long       123--------------------------------------------------------Generation                   : 0Fitness evaluations          : 900Fitness (max/avg/min)        : (4.600000 3.421778 0.800000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 111111100101001110101001001110--------------------------------------------------------Generation                   : 1Fitness evaluations          : 1350Fitness (max/avg/min)        : (4.600000 3.842444 0.900000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 110010011010101010110100111111--------------------------------------------------------Generation                   : 2Fitness evaluations          : 1800Fitness (max/avg/min)        : (4.600000 4.108222 1.600000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 110010011010101010110100111111--------------------------------------------------------Generation                   : 3Fitness evaluations          : 2250Fitness (max/avg/min)        : (4.600000 4.219889 2.400000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 110010011010101010110100111111--------------------------------------------------------Generation                   : 4Fitness evaluations          : 2700Fitness (max/avg/min)        : (4.700000 4.291556 2.600000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 111111111111100110101001001101--------------------------------------------------------Generation                   : 5Fitness evaluations          : 3150Fitness (max/avg/min)        : (4.700000 4.286667 2.500000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 111111111111100110101001001101--------------------------------------------------------Generation                   : 6Fitness evaluations          : 3600Fitness (max/avg/min)        : (4.700000 4.325556 2.600000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 111111111111100110101001001101--------------------------------------------------------Generation                   : 7Fitness evaluations          : 4050Fitness (max/avg/min)        : (4.800000 4.468333 4.000000)Percentage of optima in pop. : 0.00Population bias              : ..............................Best solution in the pop.    : 111000111111011010111111111111--------------------------------------------------------Generation                   : 8Fitness evaluations          : 4500Fitness (max/avg/min)        : (4.800000 4.392333 2.700000)Percentage of optima in pop. : 0.00Population bias              : ..........11..................Best solution in the pop.    : 111000111111011010111111111111--------------------------------------------------------Generation                   : 9Fitness evaluations          : 4950Fitness (max/avg/min)        : (4.800000 4.495000 3.500000)Percentage of optima in pop. : 0.00Population bias              : .......1..11..................Best solution in the pop.    : 111111111111111111001011100101--------------------------------------------------------Generation                   : 10Fitness evaluations          : 5400Fitness (max/avg/min)        : (4.900000 4.556000 3.500000)Percentage of optima in pop. : 0.00Population bias              : ......11..11..................Best solution in the pop.    : 000000000000100101111111111111--------------------------------------------------------Generation                   : 11Fitness evaluations          : 5850Fitness (max/avg/min)        : (4.900000 4.610889 3.600000)Percentage of optima in pop. : 0.00Population bias              : ......111.11..................Best solution in the pop.    : 000000000000100101111111111111--------------------------------------------------------Generation                   : 12Fitness evaluations          : 6300Fitness (max/avg/min)        : (5.000000 4.700333 3.800000)Percentage of optima in pop. : 0.11Population bias              : ......111111..................Best solution in the pop.    : 111111111111111111000000111111--------------------------------------------------------Generation                   : 13Fitness evaluations          : 6750Fitness (max/avg/min)        : (5.000000 4.757556 3.800000)Percentage of optima in pop. : 0.67Population bias              : ..1...111111..................Best solution in the pop.    : 111111111111111111000000111111--------------------------------------------------------Generation                   : 14Fitness evaluations          : 7200Fitness (max/avg/min)        : (5.000000 4.796445 3.800000)Percentage of optima in pop. : 3.44Population bias              : ......111111..................Best solution in the pop.    : 000000111111000000000000111111--------------------------------------------------------Generation                   : 15Fitness evaluations          : 7650Fitness (max/avg/min)        : (5.000000 4.858222 3.900000)Percentage of optima in pop. : 10.44Population bias              : .11...111111..................Best solution in the pop.    : 000000000000000000111111111111--------------------------------------------------------Generation                   : 16Fitness evaluations          : 8100Fitness (max/avg/min)        : (5.000000 4.921222 4.700000)Percentage of optima in pop. : 28.22Population bias              : .11...111111..................Best solution in the pop.    : 000000111111000000000000000000--------------------------------------------------------Generation                   : 17Fitness evaluations          : 8550Fitness (max/avg/min)        : (5.000000 4.955333 4.700000)Percentage of optima in pop. : 57.78Population bias              : .1....111111..................Best solution in the pop.    : 111111111111111111111111000000--------------------------------------------------------Generation                   : 18Fitness evaluations          : 9000Fitness (max/avg/min)        : (5.000000 5.000000 5.000000)Percentage of optima in pop. : 100.00Population bias              : 111111111111..................Best solution in the pop.    : 111111111111111111111111111111=================================================================FINAL STATISTICSTermination reason           : Proportion of optima in a population reached the thresholdGenerations performed        : 18Fitness evaluations          : 9000Fitness (max/avg/min)        : (5.000000 5.000000 5.000000)Percentage of optima in pop. : 100.00Population bias              : 111111111111..................Best solution in the pop.    : 111111111111111111111111111111The End.