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  "Type": "Package",
  "Title": "Machine Coded Genetic Algorithms for Real-Valued Optimization\nProblems",
  "Version": "3.0.9",
  "Date": "2025-12-10",
  "Author": "Mehmet Hakan Satman [aut, cre]",
  "Maintainer": "Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>",
  "Description": "Machine coded genetic algorithm (MCGA) is a fast tool for\nreal-valued optimization problems. It uses the byte\nrepresentation of variables rather than real-values. It\nperforms the classical crossover operations (uniform) on these\nbyte representations. Mutation operator is also similar to\nclassical mutation operator, which is to say, it changes a\nrandomly selected byte value of a chromosome by +1 or -1 with\nprobability 1/2. In MCGAs there is no need for\nencoding-decoding process and the classical operators are\ndirectly applicable on real-values. It is fast and can handle a\nwide range of a search space with high precision. Using a\n256-unary alphabet is the main disadvantage of this algorithm\nbut a moderate size population is convenient for many problems.\nPackage also includes multi_mcga function for multi objective\noptimization problems. This function sorts the chromosomes\nusing their ranks calculated from the non-dominated sorting\nalgorithm.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "LazyLoad": "yes",
  "Packaged": {
    "Date": "2026-10-06 10:39:19 UTC",
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  "RoxygenNote": "5.0.1",
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  "Repository": "https://jbytecode.r-universe.dev",
  "Date/Publication": "2025-12-10 20:05:50 UTC",
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  "_topics": [
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.json",
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  "_realowner": "jbytecode",
  "_cranurl": true,
  "_releases": [
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      "version": "1.0",
      "date": "2010-12-13"
    },
    {
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      "date": "2010-12-23"
    },
    {
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      "date": "2011-01-11"
    },
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      "date": "2011-01-11"
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    {
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      "date": "2011-06-21"
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      "version": "2.0.1",
      "date": "2011-06-25"
    },
    {
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      "date": "2011-10-17"
    },
    {
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      "date": "2012-01-06"
    },
    {
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      "date": "2012-01-06"
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    {
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      "date": "2012-01-09"
    },
    {
      "version": "2.0.6",
      "date": "2012-10-31"
    },
    {
      "version": "2.0.7",
      "date": "2013-04-04"
    },
    {
      "version": "2.0.9",
      "date": "2014-03-25"
    },
    {
      "version": "3.0",
      "date": "2016-03-24"
    },
    {
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      "date": "2016-05-12"
    },
    {
      "version": "3.0.3",
      "date": "2018-05-13"
    },
    {
      "version": "3.0.6",
      "date": "2023-08-20"
    },
    {
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      "date": "2023-11-27"
    },
    {
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      "date": "2025-12-11"
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    "arithmetic_crossover",
    "blx_crossover",
    "byte_crossover",
    "byte_crossover_1p",
    "byte_crossover_2p",
    "byte_mutation",
    "byte_mutation_dynamic",
    "byte_mutation_random",
    "byte_mutation_random_dynamic",
    "ByteCodeMutation",
    "ByteCodeMutationUsingDoubles",
    "ByteCodeMutationUsingDoublesRandom",
    "BytesToDouble",
    "ByteVectorToDoubles",
    "DoubleToBytes",
    "DoubleVectorToBytes",
    "EnsureBounds",
    "flat_crossover",
    "linear_crossover",
    "MaxDouble",
    "mcga",
    "mcga2",
    "multi_mcga",
    "OnePointCrossOver",
    "OnePointCrossOverOnDoublesUsingBytes",
    "sbx_crossover",
    "SizeOfDouble",
    "SizeOfInt",
    "SizeOfLong",
    "TwoPointCrossOver",
    "TwoPointCrossOverOnDoublesUsingBytes",
    "unfair_average_crossover",
    "UniformCrossOver",
    "UniformCrossOverOnDoublesUsingBytes"
  ],
  "_help": [
    {
      "page": "mcga-package",
      "title": "Machine Coded Genetic Algorithms for Real-valued Optimization Problems",
      "topics": [
        "mcga-package"
      ]
    },
    {
      "page": "arithmetic_crossover",
      "title": "Performs arithmetic crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "arithmetic_crossover"
      ]
    },
    {
      "page": "blx_crossover",
      "title": "Performs blx (blend) crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "blx_crossover"
      ]
    },
    {
      "page": "byte_crossover",
      "title": "Performs crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "byte_crossover"
      ]
    },
    {
      "page": "byte_crossover_1p",
      "title": "Performs one-point crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "byte_crossover_1p"
      ]
    },
    {
      "page": "byte_crossover_2p",
      "title": "Performs two-point crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "byte_crossover_2p"
      ]
    },
    {
      "page": "byte_mutation",
      "title": "Performs mutation operation on a given double vector",
      "topics": [
        "byte_mutation"
      ]
    },
    {
      "page": "byte_mutation_dynamic",
      "title": "Performs mutation operation on a given double vector using dynamic mutation probabilities",
      "topics": [
        "byte_mutation_dynamic"
      ]
    },
    {
      "page": "byte_mutation_random",
      "title": "Performs mutation operation on a given double vector",
      "topics": [
        "byte_mutation_random"
      ]
    },
    {
      "page": "byte_mutation_random_dynamic",
      "title": "Performs mutation operation on a given double vector with dynamic mutation probabilities",
      "topics": [
        "byte_mutation_random_dynamic"
      ]
    },
    {
      "page": "ByteCodeMutation",
      "title": "Mutation operator for byte representation of double values",
      "topics": [
        "ByteCodeMutation"
      ]
    },
    {
      "page": "ByteCodeMutationUsingDoubles",
      "title": "Mutation operator for byte representation of double values",
      "topics": [
        "ByteCodeMutationUsingDoubles"
      ]
    },
    {
      "page": "ByteCodeMutationUsingDoublesRandom",
      "title": "Mutation operator for byte representation of double values",
      "topics": [
        "ByteCodeMutationUsingDoublesRandom"
      ]
    },
    {
      "page": "BytesToDouble",
      "title": "Converting 'sizeof(double)' bytes to a double value",
      "topics": [
        "BytesToDouble"
      ]
    },
    {
      "page": "ByteVectorToDoubles",
      "title": "Converting p * 'sizeof(double)' bytes to a vector of p double values",
      "topics": [
        "ByteVectorToDoubles"
      ]
    },
    {
      "page": "DoubleToBytes",
      "title": "Byte representation of a 'double' typed variable",
      "topics": [
        "DoubleToBytes"
      ]
    },
    {
      "page": "DoubleVectorToBytes",
      "title": "Byte representation of a vector of 'double' typed variables",
      "topics": [
        "DoubleVectorToBytes"
      ]
    },
    {
      "page": "EnsureBounds",
      "title": "Altering vector of doubles to satisfy boundary constraints",
      "topics": [
        "EnsureBounds"
      ]
    },
    {
      "page": "flat_crossover",
      "title": "Performs flat crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "flat_crossover"
      ]
    },
    {
      "page": "linear_crossover",
      "title": "Performs linear crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "linear_crossover"
      ]
    },
    {
      "page": "MaxDouble",
      "title": "Maximum value of a 'double' typed variable",
      "topics": [
        "MaxDouble"
      ]
    },
    {
      "page": "mcga",
      "title": "Performs machine coded genetic algorithms on a function subject to be minimized.",
      "topics": [
        "mcga"
      ]
    },
    {
      "page": "mcga2",
      "title": "Performs a machine-coded genetic algorithm search for a given optimization problem",
      "topics": [
        "mcga2"
      ]
    },
    {
      "page": "multi_mcga",
      "title": "Performs multi objective machine coded genetic algorithms.",
      "topics": [
        "multi_mcga"
      ]
    },
    {
      "page": "OnePointCrossOver",
      "title": "One Point Crossover operation on the two vectors of bytes",
      "topics": [
        "OnePointCrossOver"
      ]
    },
    {
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      "title": "One-point Crossover operation on the two vectors of doubles using their byte representations",
      "topics": [
        "OnePointCrossOverOnDoublesUsingBytes"
      ]
    },
    {
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      "title": "Performs sbx (simulated binary) crossover operation on a pair of two selected parent candidate solutions",
      "topics": [
        "sbx_crossover"
      ]
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      "title": "Byte-length of a 'double' typed variable",
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        "SizeOfDouble"
      ]
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        "SizeOfInt"
      ]
    },
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      "topics": [
        "SizeOfLong"
      ]
    },
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        "TwoPointCrossOver"
      ]
    },
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      "topics": [
        "TwoPointCrossOverOnDoublesUsingBytes"
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      "page": "unfair_average_crossover",
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    },
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      "page": "UniformCrossOver",
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      ]
    },
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      "title": "Uniform Crossover operation on the two vectors of doubles using their byte representations",
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      ]
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