output.onemax.30.log
来自「PostsBayesian Optimization Algorithm wit」· LOG 代码 · 共 139 行
LOG
139 行
=============================================== 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.onemax.30===============================================Parameter Values:Description Identifier Type Value ----------------------------------------------------------------------------------------------------------------Size of the population populationSize long 50The 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 (ONEMAX)Size of the problem (of one dimension) problemSize int 30Maximal Number of Generations to Perform maxNumberOfGenerations long 40Maximal 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 0Wait for enter after printing out generation statistics? pause char 0Output file name outputFile char* output.onemax.30Threshold for guidance (closeness to 0,1) guidanceThreshold float 0.300000Random Seed randSeed long 123--------------------------------------------------------Generation : 0Fitness evaluations : 50Fitness (max/avg/min) : (22.000000 15.320000 8.000000)Percentage of optima in pop. : 0.00Population bias : ..............................Best solution in the pop. : 011001101110110111111011111011--------------------------------------------------------Generation : 1Fitness evaluations : 75Fitness (max/avg/min) : (22.000000 17.920000 14.000000)Percentage of optima in pop. : 0.00Population bias : 11......0.1...............1...Best solution in the pop. : 011001101110110111111011111011--------------------------------------------------------Generation : 2Fitness evaluations : 100Fitness (max/avg/min) : (25.000000 19.620000 13.000000)Percentage of optima in pop. : 0.00Population bias : 11....1...1..111....1.....1...Best solution in the pop. : 111101110111011111101111111110--------------------------------------------------------Generation : 3Fitness evaluations : 125Fitness (max/avg/min) : (25.000000 21.280000 15.000000)Percentage of optima in pop. : 0.00Population bias : 111...1..11..1.11...11...111..Best solution in the pop. : 111101110111011111101111111110--------------------------------------------------------Generation : 4Fitness evaluations : 150Fitness (max/avg/min) : (28.000000 23.160000 20.000000)Percentage of optima in pop. : 0.00Population bias : 11111111.11..1.1111.1.1.11111.Best solution in the pop. : 111111110110111111111111111111--------------------------------------------------------Generation : 5Fitness evaluations : 175Fitness (max/avg/min) : (28.000000 24.600000 20.000000)Percentage of optima in pop. : 0.00Population bias : 11111111.11..111111.111..1111.Best solution in the pop. : 111111110110111111111111111111--------------------------------------------------------Generation : 6Fitness evaluations : 200Fitness (max/avg/min) : (29.000000 25.720000 20.000000)Percentage of optima in pop. : 0.00Population bias : 11111111.11..111111.111.111111Best solution in the pop. : 111111111111111111101111111111--------------------------------------------------------Generation : 7Fitness evaluations : 225Fitness (max/avg/min) : (29.000000 26.960000 23.000000)Percentage of optima in pop. : 0.00Population bias : 11111111.11..111111.111.111111Best solution in the pop. : 111111111111111111101111111111--------------------------------------------------------Generation : 8Fitness evaluations : 250Fitness (max/avg/min) : (30.000000 27.880000 24.000000)Percentage of optima in pop. : 4.00Population bias : 11111111111.11111111111.111111Best solution in the pop. : 111111111111111111111111111111--------------------------------------------------------Generation : 9Fitness evaluations : 275Fitness (max/avg/min) : (30.000000 28.700000 25.000000)Percentage of optima in pop. : 18.00Population bias : 11111111111.111111111111111111Best solution in the pop. : 111111111111111111111111111111--------------------------------------------------------Generation : 10Fitness evaluations : 300Fitness (max/avg/min) : (30.000000 29.260000 28.000000)Percentage of optima in pop. : 34.00Population bias : 11111111111.111111111111111111Best solution in the pop. : 111111111111111111111111111111--------------------------------------------------------Generation : 11Fitness evaluations : 325Fitness (max/avg/min) : (30.000000 29.700000 28.000000)Percentage of optima in pop. : 72.00Population bias : 111111111111111111111111111111Best solution in the pop. : 111111111111111111111111111111--------------------------------------------------------Generation : 12Fitness evaluations : 350Fitness (max/avg/min) : (30.000000 30.000000 30.000000)Percentage of optima in pop. : 100.00Population bias : 111111111111111111111111111111Best solution in the pop. : 111111111111111111111111111111=================================================================FINAL STATISTICSTermination reason : Bit convergence (with threshold epsilon)Generations performed : 12Fitness evaluations : 350Fitness (max/avg/min) : (30.000000 30.000000 30.000000)Percentage of optima in pop. : 100.00Population bias : 111111111111111111111111111111Best solution in the pop. : 111111111111111111111111111111The End.⌨️ 快捷键说明
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