output.bipolar.60.log

贝叶斯优化算法是一种新的演化算法

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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
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 Parameter values from: input.bipolar.60
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Parameter Values:

Description                                                Identifier                 Type       Value   
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Size of the population                                     populationSize             long       2000
The number of parents to select (% from population)        parentsPercentage          float      50.000000
Size of offspring to create (% from population)            offspringPercentage        float      50.000000

Number of fitness function to use                          fitnessFunction            int        0 (3deceptive Bipolar)
Size of the problem (of one dimension)                     problemSize                int        60

Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       90
Maximal Number of Fitness Calls (-1 when unbounded)        maxFitnessCalls            long       -1
Termination threshold for the univ. freq. (-1 is ignore)   epsilon                    float      0.010000
Stop if the optimum was found?                             stopWhenFoundOptimum       char       0 (No)
Percentage of opt. and nonopt. ind. threshold (-1 is ignore) maxOptimal                 float      75.000000

Maximal number of incoming edges in dep. graph for the BOA maxIncoming                int        5

Wait for enter after printing out generation statistics?   pause                      char       0

Output file name                                           outputFile                 char*      output.bipolar.60
Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000

Random Seed                                                randSeed                   long       123
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Generation                   : 0
Fitness evaluations          : 2000
Fitness (max/avg/min)        : (9.099999 6.863800 2.600000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000
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Generation                   : 1
Fitness evaluations          : 3000
Fitness (max/avg/min)        : (9.099999 7.339151 2.600000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000
--------------------------------------------------------
Generation                   : 2
Fitness evaluations          : 4000
Fitness (max/avg/min)        : (9.099999 7.658951 4.300000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000
--------------------------------------------------------
Generation                   : 3
Fitness evaluations          : 5000
Fitness (max/avg/min)        : (9.099999 7.802701 3.500000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 010110000000110010000000011010101100111010010110001011111000
--------------------------------------------------------
Generation                   : 4
Fitness evaluations          : 6000
Fitness (max/avg/min)        : (9.200000 8.091701 4.400000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110
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Generation                   : 5
Fitness evaluations          : 7000
Fitness (max/avg/min)        : (9.200000 8.377801 5.700000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110
--------------------------------------------------------
Generation                   : 6
Fitness evaluations          : 8000
Fitness (max/avg/min)        : (9.200000 8.488051 6.600001)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110
--------------------------------------------------------
Generation                   : 7
Fitness evaluations          : 9000
Fitness (max/avg/min)        : (9.200000 8.568850 6.700001)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010101100011100001100111111000000111111011010011100100110
--------------------------------------------------------
Generation                   : 8
Fitness evaluations          : 10000
Fitness (max/avg/min)        : (9.400000 8.637000 6.700000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 9
Fitness evaluations          : 11000
Fitness (max/avg/min)        : (9.400000 8.560350 6.000000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 10
Fitness evaluations          : 12000
Fitness (max/avg/min)        : (9.400000 8.529950 5.200000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 11
Fitness evaluations          : 13000
Fitness (max/avg/min)        : (9.400000 8.602700 6.000000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 12
Fitness evaluations          : 14000
Fitness (max/avg/min)        : (9.400000 8.641050 5.800000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 13
Fitness evaluations          : 15000
Fitness (max/avg/min)        : (9.400000 8.649700 6.000000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 14
Fitness evaluations          : 16000
Fitness (max/avg/min)        : (9.400000 8.635250 6.000000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000
--------------------------------------------------------
Generation                   : 15
Fitness evaluations          : 17000
Fitness (max/avg/min)        : (9.400000 8.772100 6.400000)
Percentage of optima in pop. : 0.00
Population bias              : ............................................................
Best solution in the pop.    : 011010100101010101111111000000100110010110111111010011000000