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📄 output.trap5.90.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.trap5.90
===============================================

Parameter Values:

Description                                                Identifier                 Type       Value   
----------------------------------------------------------------------------------------------------------------
Size of the population                                     populationSize             long       5200
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        90

Maximal Number of Generations to Perform                   maxNumberOfGenerations     long       80
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.trap5.90
Threshold for guidance (closeness to 0,1)                  guidanceThreshold          float      0.300000

Random Seed                                                randSeed                   long       123
--------------------------------------------------------
Generation                   : 0
Fitness evaluations          : 5200
Fitness (max/avg/min)        : (49.000000 30.391923 13.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 101000011011111010010100011000011010010000110100001111100010100011011001010111110100000001
--------------------------------------------------------
Generation                   : 1
Fitness evaluations          : 7800
Fitness (max/avg/min)        : (49.000000 33.542692 14.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 101000011011111010010100011000011010010000110100001111100010100011011001010111110100000001
--------------------------------------------------------
Generation                   : 2
Fitness evaluations          : 10400
Fitness (max/avg/min)        : (58.000000 36.275962 18.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 010101000001000000111111110011000001111110001010001010111111111110010011111000001001100000
--------------------------------------------------------
Generation                   : 3
Fitness evaluations          : 13000
Fitness (max/avg/min)        : (59.000000 38.990577 22.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 000010110000011000010010101000111111111100101001001000111111111111111110000100000001100000
--------------------------------------------------------
Generation                   : 4
Fitness evaluations          : 15600
Fitness (max/avg/min)        : (60.000000 42.098654 26.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 100110010001000111110010111111001000000000001111110000000010010100101001100000000000011111
--------------------------------------------------------
Generation                   : 5
Fitness evaluations          : 18200
Fitness (max/avg/min)        : (68.000000 45.436346 26.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111111100100000000010010000000001111111111000110010110000010001111100000010011111111111
--------------------------------------------------------
Generation                   : 6
Fitness evaluations          : 20800
Fitness (max/avg/min)        : (68.000000 48.693269 29.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111111100100000000010010000000001111111111000110010110000010001111100000010011111111111
--------------------------------------------------------
Generation                   : 7
Fitness evaluations          : 23400
Fitness (max/avg/min)        : (70.000000 52.107115 35.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 001101111111111000001111111111000000010011111000101110000100111111111100010010101111111111
--------------------------------------------------------
Generation                   : 8
Fitness evaluations          : 26000
Fitness (max/avg/min)        : (72.000000 55.660385 37.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 010001111100000111111111111111111110100010000111110100111111110010001111111111111111100000
--------------------------------------------------------
Generation                   : 9
Fitness evaluations          : 28600
Fitness (max/avg/min)        : (78.000000 59.050769 41.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111111111111111110100001000000000000000000111110001011111111111111111111000001111100001
--------------------------------------------------------
Generation                   : 10
Fitness evaluations          : 31200
Fitness (max/avg/min)        : (78.000000 62.317308 43.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111111111111111110100001000000000000000000111110001011111111111111111111000001111100001
--------------------------------------------------------
Generation                   : 11
Fitness evaluations          : 33800
Fitness (max/avg/min)        : (82.000000 65.502308 48.000000)
Percentage of optima in pop. : 0.00
Population bias              : ..........................................................................................
Best solution in the pop.    : 111111111111111111111111111111000100000011111111111111111111000001111111111010011111100000
--------------------------------------------------------
Generation                   : 12
Fitness evaluations          : 36400

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