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📄 output.3decoverlap.91.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.3decOverlap.91
===============================================

Parameter Values:

Description                                                Identifier                 Type       Value   
----------------------------------------------------------------------------------------------------------------
Size of the population                                     populationSize             long       6200
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 (OVERLAPPING in 1bit))
Size of the problem (of one dimension)                     problemSize                int        91

Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       100
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        2

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

Output file name                                           outputFile                 char*      output.3decOverlap.91
Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000

Random Seed                                                randSeed                   long       123
--------------------------------------------------------
Generation                   : 0
Fitness evaluations          : 6200
Fitness (max/avg/min)        : (35.099991 24.223028 13.800001)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 1000000001001000111000001110111000011000100101000000111000000011100100000010010100110111100
--------------------------------------------------------
Generation                   : 1
Fitness evaluations          : 9300
Fitness (max/avg/min)        : (35.099991 26.276414 12.400002)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 1000000001001000111000001110111000011000100101000000111000000011100100000010010100110111100
--------------------------------------------------------
Generation                   : 2
Fitness evaluations          : 12400
Fitness (max/avg/min)        : (35.199993 27.841574 18.600000)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 0001000101010000000011111001000011110100001111010100010110010010010000111101000011100100000
--------------------------------------------------------
Generation                   : 3
Fitness evaluations          : 15500
Fitness (max/avg/min)        : (36.099995 29.186589 17.799999)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 1100000001000000100100001111100111111000010000000010000011100100110011111000000001111110000
--------------------------------------------------------
Generation                   : 4
Fitness evaluations          : 18600
Fitness (max/avg/min)        : (37.599991 30.548443 21.100000)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 0010010010001000001110000100100101010100000010001111100100110011100000010100111000111111111
--------------------------------------------------------
Generation                   : 5
Fitness evaluations          : 21700
Fitness (max/avg/min)        : (38.699989 31.977524 22.299997)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 0000000000111110000000000001111111100000001111100000001000010011100000010101010100111000001
--------------------------------------------------------
Generation                   : 6
Fitness evaluations          : 24800
Fitness (max/avg/min)        : (38.999992 33.350685 23.999996)
Percentage of optima in pop. : 0.00
Population bias              : ...........................................................................................
Best solution in the pop.    : 0100000010010100000100111000010100010100010011100101000000000000000000000100111000001111111
--------------------------------------------------------
Generation                   : 7
Fitness evaluations          : 27900
Fitness (max/avg/min)        : (39.699993 34.638910 27.399994)
Percentage of optima in pop. : 0.00
Population bias              : ....................................0......................................................
Best solution in the pop.    : 0100010011111001000100000000111111100101001111100011111000010000001111100000010101000011111
--------------------------------------------------------
Generation                   : 8
Fitness evaluations          : 31000
Fitness (max/avg/min)        : (40.299992 35.780233 28.999996)
Percentage of optima in pop. : 0.00
Population bias              : ....................................0......................................................
Best solution in the pop.    : 1000000000000000111110000000000000010011100000111111111111111000100011111001001111100000010
--------------------------------------------------------
Generation                   : 9
Fitness evaluations          : 34100
Fitness (max/avg/min)        : (40.299992 36.784362 30.699989)
Percentage of optima in pop. : 0.00
Population bias              : ....................................0...........0...................0......................
Best solution in the pop.    : 1000000000000000111110000000000000010011100000111111111111111000100011111001001111100000010
--------------------------------------------------------
Generation                   : 10
Fitness evaluations          : 37200
Fitness (max/avg/min)        : (41.000000 37.671088 32.599987)
Percentage of optima in pop. : 0.00
Population bias              : ....................................0.0.........0.................0.0......................
Best solution in the pop.    : 1110000011111110001110010100111000010011111111111111111111100011111000000000111111111001000
--------------------------------------------------------
Generation                   : 11
Fitness evaluations          : 40300
Fitness (max/avg/min)        : (41.499996 38.398540 33.999989)
Percentage of optima in pop. : 0.00
Population bias              : ....................................0.0.........0...................0......................
Best solution in the pop.    : 1111100010001111111111111111111110000011111111111000001000000011111000000000111111111110010

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