output.onemax.30.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.onemax.30
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Parameter Values:

Description                                                Identifier                 Type       Value   
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Size of the population                                     populationSize             long       50
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 (ONEMAX)
Size of the problem (of one dimension)                     problemSize                int        30

Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       40
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      -1.000000

Maximal number of incoming edges in dep. graph for the BOA maxIncoming                int        0

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

Output file name                                           outputFile                 char*      output.onemax.30
Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000

Random Seed                                                randSeed                   long       123
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Generation                   : 0
Fitness evaluations          : 50
Fitness (max/avg/min)        : (22.000000 15.320000 8.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..............................
Best solution in the pop.    : 011001101110110111111011111011
--------------------------------------------------------
Generation                   : 1
Fitness evaluations          : 75
Fitness (max/avg/min)        : (22.000000 17.920000 14.000000)
Percentage of optima in pop. : 0.00
Population bias              : 11......0.1...............1...
Best solution in the pop.    : 011001101110110111111011111011
--------------------------------------------------------
Generation                   : 2
Fitness evaluations          : 100
Fitness (max/avg/min)        : (25.000000 19.620000 13.000000)
Percentage of optima in pop. : 0.00
Population bias              : 11....1...1..111....1.....1...
Best solution in the pop.    : 111101110111011111101111111110
--------------------------------------------------------
Generation                   : 3
Fitness evaluations          : 125
Fitness (max/avg/min)        : (25.000000 21.280000 15.000000)
Percentage of optima in pop. : 0.00
Population bias              : 111...1..11..1.11...11...111..
Best solution in the pop.    : 111101110111011111101111111110
--------------------------------------------------------
Generation                   : 4
Fitness evaluations          : 150
Fitness (max/avg/min)        : (28.000000 23.160000 20.000000)
Percentage of optima in pop. : 0.00
Population bias              : 11111111.11..1.1111.1.1.11111.
Best solution in the pop.    : 111111110110111111111111111111
--------------------------------------------------------
Generation                   : 5
Fitness evaluations          : 175
Fitness (max/avg/min)        : (28.000000 24.600000 20.000000)
Percentage of optima in pop. : 0.00
Population bias              : 11111111.11..111111.111..1111.
Best solution in the pop.    : 111111110110111111111111111111
--------------------------------------------------------
Generation                   : 6
Fitness evaluations          : 200
Fitness (max/avg/min)        : (29.000000 25.720000 20.000000)
Percentage of optima in pop. : 0.00
Population bias              : 11111111.11..111111.111.111111
Best solution in the pop.    : 111111111111111111101111111111
--------------------------------------------------------
Generation                   : 7
Fitness evaluations          : 225
Fitness (max/avg/min)        : (29.000000 26.960000 23.000000)
Percentage of optima in pop. : 0.00
Population bias              : 11111111.11..111111.111.111111
Best solution in the pop.    : 111111111111111111101111111111
--------------------------------------------------------
Generation                   : 8
Fitness evaluations          : 250
Fitness (max/avg/min)        : (30.000000 27.880000 24.000000)
Percentage of optima in pop. : 4.00
Population bias              : 11111111111.11111111111.111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 9
Fitness evaluations          : 275
Fitness (max/avg/min)        : (30.000000 28.700000 25.000000)
Percentage of optima in pop. : 18.00
Population bias              : 11111111111.111111111111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 10
Fitness evaluations          : 300
Fitness (max/avg/min)        : (30.000000 29.260000 28.000000)
Percentage of optima in pop. : 34.00
Population bias              : 11111111111.111111111111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 11
Fitness evaluations          : 325
Fitness (max/avg/min)        : (30.000000 29.700000 28.000000)
Percentage of optima in pop. : 72.00
Population bias              : 111111111111111111111111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 12
Fitness evaluations          : 350
Fitness (max/avg/min)        : (30.000000 30.000000 30.000000)
Percentage of optima in pop. : 100.00
Population bias              : 111111111111111111111111111111
Best solution in the pop.    : 111111111111111111111111111111

=================================================================
FINAL STATISTICS
Termination reason           : Bit convergence (with threshold epsilon)
Generations performed        : 12
Fitness evaluations          : 350
Fitness (max/avg/min)        : (30.000000 30.000000 30.000000)
Percentage of optima in pop. : 100.00
Population bias              : 111111111111111111111111111111
Best solution in the pop.    : 111111111111111111111111111111

The End.