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📄 output.trap5.90.log

📁 PostsBayesian Optimization Algorithm with Decision Graphs in C++,
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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----------------------------------------------- Parameter values from: input.trap5.90===============================================Parameter Values:Description                                                Identifier                 Type       Value   ----------------------------------------------------------------------------------------------------------------Size of the population                                     populationSize             long       5200The 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 (5-ORDER TRAP (Illinois Report No. 95008))Size of the problem (of one dimension)                     problemSize                int        90Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       80Maximal 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        4Wait for enter after printing out generation statistics?   pause                      char       0Output file name                                           outputFile                 char*      output.trap5.90Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000Random Seed                                                randSeed                   long       123--------------------------------------------------------Generation                   : 0Fitness evaluations          : 5200Fitness (max/avg/min)        : (49.000000 30.391923 13.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 101000011011111010010100011000011010010000110100001111100010100011011001010111110100000001--------------------------------------------------------Generation                   : 1Fitness evaluations          : 7800Fitness (max/avg/min)        : (49.000000 33.542692 14.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 101000011011111010010100011000011010010000110100001111100010100011011001010111110100000001--------------------------------------------------------Generation                   : 2Fitness evaluations          : 10400Fitness (max/avg/min)        : (58.000000 36.275962 18.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 010101000001000000111111110011000001111110001010001010111111111110010011111000001001100000--------------------------------------------------------Generation                   : 3Fitness evaluations          : 13000Fitness (max/avg/min)        : (59.000000 38.990577 22.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 000010110000011000010010101000111111111100101001001000111111111111111110000100000001100000--------------------------------------------------------Generation                   : 4Fitness evaluations          : 15600Fitness (max/avg/min)        : (60.000000 42.098654 26.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 100110010001000111110010111111001000000000001111110000000010010100101001100000000000011111--------------------------------------------------------Generation                   : 5Fitness evaluations          : 18200Fitness (max/avg/min)        : (68.000000 45.436346 26.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 111111111100100000000010010000000001111111111000110010110000010001111100000010011111111111--------------------------------------------------------Generation                   : 6Fitness evaluations          : 20800Fitness (max/avg/min)        : (68.000000 48.693269 29.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 111111111100100000000010010000000001111111111000110010110000010001111100000010011111111111--------------------------------------------------------Generation                   : 7Fitness evaluations          : 23400Fitness (max/avg/min)        : (70.000000 52.107115 35.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 001101111111111000001111111111000000010011111000101110000100111111111100010010101111111111--------------------------------------------------------Generation                   : 8Fitness evaluations          : 26000Fitness (max/avg/min)        : (72.000000 55.660385 37.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 010001111100000111111111111111111110100010000111110100111111110010001111111111111111100000--------------------------------------------------------Generation                   : 9Fitness evaluations          : 28600Fitness (max/avg/min)        : (78.000000 59.050769 41.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 111111111111111111110100001000000000000000000111110001011111111111111111111000001111100001--------------------------------------------------------Generation                   : 10Fitness evaluations          : 31200Fitness (max/avg/min)        : (78.000000 62.317308 43.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 111111111111111111110100001000000000000000000111110001011111111111111111111000001111100001--------------------------------------------------------Generation                   : 11Fitness evaluations          : 33800Fitness (max/avg/min)        : (82.000000 65.502308 48.000000)Percentage of optima in pop. : 0.00Population bias              : ..........................................................................................Best solution in the pop.    : 111111111111111111111111111111000100000011111111111111111111000001111111111010011111100000--------------------------------------------------------Generation                   : 12Fitness evaluations          : 36400

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