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📄 output.trap5.30.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
-----------------------------------------------
 Parameter values from: input.trap5.30
===============================================

Parameter Values:

Description                                                Identifier                 Type       Value   
----------------------------------------------------------------------------------------------------------------
Size of the population                                     populationSize             long       1300
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 (5-ORDER TRAP (Illinois Report No. 95008))
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        4

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

Output file name                                           outputFile                 char*      output.trap5.30
Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000

Random Seed                                                randSeed                   long       123
--------------------------------------------------------
Generation                   : 0
Fitness evaluations          : 1300
Fitness (max/avg/min)        : (20.000000 10.033846 1.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..............................
Best solution in the pop.    : 111110000101000000111000000000
--------------------------------------------------------
Generation                   : 1
Fitness evaluations          : 1950
Fitness (max/avg/min)        : (22.000000 11.893846 1.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..............................
Best solution in the pop.    : 100111111100001000011111111111
--------------------------------------------------------
Generation                   : 2
Fitness evaluations          : 2600
Fitness (max/avg/min)        : (22.000000 13.595385 5.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..............................
Best solution in the pop.    : 100111111100001000011111111111
--------------------------------------------------------
Generation                   : 3
Fitness evaluations          : 3250
Fitness (max/avg/min)        : (26.000000 15.409231 8.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........0...................
Best solution in the pop.    : 111111111100000000100000011111
--------------------------------------------------------
Generation                   : 4
Fitness evaluations          : 3900
Fitness (max/avg/min)        : (27.000000 17.164615 7.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........0...................
Best solution in the pop.    : 111110000011111111111000011111
--------------------------------------------------------
Generation                   : 5
Fitness evaluations          : 4550
Fitness (max/avg/min)        : (29.000000 18.983077 11.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........0.0.................
Best solution in the pop.    : 111111111111111000001111111111
--------------------------------------------------------
Generation                   : 6
Fitness evaluations          : 5200
Fitness (max/avg/min)        : (29.000000 20.842308 14.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........0.0.................
Best solution in the pop.    : 111111111111111000001111111111
--------------------------------------------------------
Generation                   : 7
Fitness evaluations          : 5850
Fitness (max/avg/min)        : (29.000000 22.517692 15.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........0.0.................
Best solution in the pop.    : 111111111111111000001111111111
--------------------------------------------------------
Generation                   : 8
Fitness evaluations          : 6500
Fitness (max/avg/min)        : (29.000000 24.113077 14.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..............................
Best solution in the pop.    : 111111111111111000001111111111
--------------------------------------------------------
Generation                   : 9
Fitness evaluations          : 7150
Fitness (max/avg/min)        : (29.000000 25.492308 20.000000)
Percentage of optima in pop. : 0.00
Population bias              : ...........................1..
Best solution in the pop.    : 111111111111111000001111111111
--------------------------------------------------------
Generation                   : 10
Fitness evaluations          : 7800
Fitness (max/avg/min)        : (29.000000 26.530769 19.000000)
Percentage of optima in pop. : 0.00
Population bias              : .........................11111
Best solution in the pop.    : 111111111111111111110000011111
--------------------------------------------------------
Generation                   : 11
Fitness evaluations          : 8450
Fitness (max/avg/min)        : (30.000000 27.408462 24.000000)
Percentage of optima in pop. : 0.23
Population bias              : 11111....................11111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 12
Fitness evaluations          : 9100
Fitness (max/avg/min)        : (30.000000 27.973077 25.000000)
Percentage of optima in pop. : 0.38
Population bias              : 1111111111...............11111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 13
Fitness evaluations          : 9750
Fitness (max/avg/min)        : (30.000000 28.293077 24.000000)
Percentage of optima in pop. : 0.77
Population bias              : 1111111111..........1111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 14
Fitness evaluations          : 10400
Fitness (max/avg/min)        : (30.000000 28.624615 25.000000)
Percentage of optima in pop. : 1.54
Population bias              : 111111111111111.....1111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 15
Fitness evaluations          : 11050
Fitness (max/avg/min)        : (30.000000 29.012308 26.000000)
Percentage of optima in pop. : 3.08
Population bias              : 111111111111111000001111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 16
Fitness evaluations          : 11700
Fitness (max/avg/min)        : (30.000000 29.056923 26.000000)
Percentage of optima in pop. : 6.54
Population bias              : 111111111111111000001111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 17
Fitness evaluations          : 12350
Fitness (max/avg/min)        : (30.000000 29.120769 27.000000)
Percentage of optima in pop. : 12.92
Population bias              : 111111111111111.....1111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 18
Fitness evaluations          : 13000
Fitness (max/avg/min)        : (30.000000 29.256154 27.000000)
Percentage of optima in pop. : 26.23
Population bias              : 111111111111111.....1111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 19
Fitness evaluations          : 13650
Fitness (max/avg/min)        : (30.000000 29.517692 27.000000)
Percentage of optima in pop. : 52.08
Population bias              : 111111111111111.....1111111111
Best solution in the pop.    : 111111111111111111111111111111
--------------------------------------------------------
Generation                   : 20
Fitness evaluations          : 14300
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        : 20
Fitness evaluations          : 14300
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.

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