📄 output.bipolar.90.log
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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.bipolar.90===============================================Parameter Values:Description Identifier Type Value ----------------------------------------------------------------------------------------------------------------Size of the population populationSize long 2700The 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 90Maximal Number of Generations to Perform maxNumberOfGenerations long 160Maximal 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.90Threshold for guidance (closeness to 0,1) guidanceThreshold float 0.300000Random Seed randSeed long 123--------------------------------------------------------Generation : 0Fitness evaluations : 2700Fitness (max/avg/min) : (13.599998 10.290408 4.900001)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 1Fitness evaluations : 4050Fitness (max/avg/min) : (13.599998 10.919482 6.700001)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 2Fitness evaluations : 5400Fitness (max/avg/min) : (13.599998 11.175149 6.200000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 3Fitness evaluations : 6750Fitness (max/avg/min) : (13.599998 11.476741 6.600000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 4Fitness evaluations : 8100Fitness (max/avg/min) : (13.599998 11.818815 7.700000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 5Fitness evaluations : 9450Fitness (max/avg/min) : (13.599998 12.137667 8.600000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 6Fitness evaluations : 10800Fitness (max/avg/min) : (13.599998 12.423815 9.900001)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 7Fitness evaluations : 12150Fitness (max/avg/min) : (13.599998 12.732593 10.800000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110000000110010000000011010101100111010010110001011111000110100101100001101111111100111--------------------------------------------------------Generation : 8Fitness evaluations : 13500Fitness (max/avg/min) : (13.599999 12.857111 10.900001)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 011010001110101010111111000000011001100110001011011100111100100110111100010011000000110100--------------------------------------------------------Generation : 9Fitness evaluations : 14850Fitness (max/avg/min) : (13.899999 12.935444 10.700001)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 011100110010010011000000001101000000111111010110110011110001010011000000110001100101000000--------------------------------------------------------Generation : 10Fitness evaluations : 16200Fitness (max/avg/min) : (13.900000 13.036740 11.200000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110010011111111001101011100110011001011010110000000000000111000110001100110000000111111--------------------------------------------------------Generation : 11Fitness evaluations : 17550Fitness (max/avg/min) : (13.900000 13.172703 12.300001)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110010011111111001101011100110011001011010110000000000000111000110001100110000000111111--------------------------------------------------------Generation : 12Fitness evaluations : 18900Fitness (max/avg/min) : (13.900000 13.162962 11.100000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110010011111111001101011100110011001011010110000000000000111000110001100110000000111111--------------------------------------------------------Generation : 13Fitness evaluations : 20250Fitness (max/avg/min) : (13.900000 13.188481 10.599999)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 010110010011111111001101011100110011001011010110000000000000111000110001100110000000111111--------------------------------------------------------Generation : 14Fitness evaluations : 21600Fitness (max/avg/min) : (14.099999 13.339333 11.400000)Percentage of optima in pop. : 0.00Population bias : ..........................................................................................Best solution in the pop. : 000000000000111111110010010011101001000000110100011010000000100111001011111111110001000000⌨️ 快捷键说明
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