InitializePopulationLHS: Initialize population with Latin Hypercube Sampling
In MaOEA: Many Objective Evolutionary Algorithm
Description
Usage
Arguments
Value
Examples
Description
Create initial sample using Latin Hypercube Sampling (LHS) method. The variables will be ranged between 0-1
Usage
1
2
3
4
5
6
7
InitializePopulationLHS(
numberOfIndividuals,
chromosomeLength,
minVal = 0,
maxVal = 1,
samplingMethod = 0
)
Arguments
numberOfIndividuals
The number of individual in the population (ncol). Integer > 0.
chromosomeLength
The number of variables per individual (nrow)
minVal
Minimum value of the resulting sample
maxVal
Maximum value of the resulting sample
samplingMethod
Not used
Value
A matrix of size chromosomeLength x nIndividual.
Examples
1
2
3
nVar <- 14
nIndividual <- 100
InitializePopulationLHS(nIndividual,nVar,FALSE)
Example output
Check required python modules:
reticulate::py_module_available('numpy') and reticulate::py_module_available('pygmo').
If not available, try using MaOEA::install_python_dependencies()
or follow the instructions in https://esa.github.io/pagmo2/install.html
and call MaOEA::load_python_dependencies().
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[,85] [,86] [,87] [,88] [,89] [,90]
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[14,] 0.64122409 0.16603021 0.8776052 0.27708096 0.04329726 0.111562276
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[2,] 0.5474405 0.57660586 0.6470027 0.83650618 0.66110848 0.69410999
[3,] 0.1012818 0.88722458 0.1689768 0.80071188 0.58200282 0.76670913
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[7,] 0.7568851 0.07888913 0.2311772 0.45247113 0.69475881 0.92240278
[8,] 0.4927032 0.41015673 0.7313160 0.82462914 0.03736149 0.71774833
[9,] 0.4760464 0.19410040 0.9853385 0.35443029 0.78467170 0.92359763
[10,] 0.9501555 0.32845491 0.3323633 0.48668779 0.24260881 0.23576146
[11,] 0.6549910 0.69104857 0.6051677 0.96515939 0.24642173 0.36681369
[12,] 0.8367075 0.31292946 0.3986808 0.67981024 0.15977938 0.57799858
[13,] 0.4862981 0.99312190 0.7903693 0.01732469 0.21375597 0.61915834
[14,] 0.4383218 0.67571750 0.8321320 0.20893919 0.76646254 0.01783796
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[1,] 0.51664838 0.09521128 0.6978759 0.23958001
[2,] 0.10081694 0.59106243 0.6878322 0.76287650
[3,] 0.30446405 0.52190742 0.2182421 0.38626916
[4,] 0.03714960 0.45971298 0.4873046 0.26436288
[5,] 0.51306440 0.72718051 0.6278387 0.85411851
[6,] 0.42462127 0.25688023 0.4865718 0.90398903
[7,] 0.47097432 0.33885770 0.3585200 0.15268060
[8,] 0.60207183 0.45141008 0.5497795 0.51305814
[9,] 0.51427539 0.66060051 0.1450259 0.61069574
[10,] 0.18474907 0.06825718 0.9265634 0.29680418
[11,] 0.25849728 0.70599126 0.2949683 0.43982809
[12,] 0.02981407 0.84284728 0.7874757 0.03045148
[13,] 0.56804909 0.77974143 0.4739695 0.80671171
[14,] 0.82350833 0.52619141 0.4742813 0.54507887
MaOEA documentation built on Aug. 31, 2020, 5:07 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
Description
Create initial sample using Latin Hypercube Sampling (LHS) method. The variables will be ranged between 0-1
Usage
1 2 3 4 5 6 7 | InitializePopulationLHS(
numberOfIndividuals,
chromosomeLength,
minVal = 0,
maxVal = 1,
samplingMethod = 0
)
|
Arguments
numberOfIndividuals |
The number of individual in the population (ncol). Integer > 0. |
chromosomeLength |
The number of variables per individual (nrow) |
minVal |
Minimum value of the resulting sample |
maxVal |
Maximum value of the resulting sample |
samplingMethod |
Not used |
Value
A matrix of size chromosomeLength x nIndividual.
Examples
1 2 3 | nVar <- 14
nIndividual <- 100
InitializePopulationLHS(nIndividual,nVar,FALSE)
|
Example output
Check required python modules:
reticulate::py_module_available('numpy') and reticulate::py_module_available('pygmo').
If not available, try using MaOEA::install_python_dependencies()
or follow the instructions in https://esa.github.io/pagmo2/install.html
and call MaOEA::load_python_dependencies().
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