📄 output.bipolar.30.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.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.⌨️ 快捷键说明
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