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  "Title": "Many Objective Evolutionary Algorithm",
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  "Description": "A set of evolutionary algorithms to solve many-objective\noptimization. Hybridization between the algorithms are also\nfacilitated. Available algorithms are: 'SMS-EMOA'\n<doi:10.1016/j.ejor.2006.08.008> 'NSGA-III'\n<doi:10.1109/TEVC.2013.2281535> 'MO-CMA-ES'\n<doi:10.1145/1830483.1830573> The following many-objective\nbenchmark problems are also provided: 'DTLZ1'-'DTLZ4' from Deb,\net al. (2001) <doi:10.1007/1-84628-137-7_6> and 'WFG4'-'WFG9'\nfrom Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.",
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  "BugReports": "https://github.com/dots26/MaOEA/issues",
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  "Repository": "https://dots26.r-universe.dev",
  "Date/Publication": "2023-01-22 18:03:45 UTC",
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    "createWeightsSobol",
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    "load_python_dependencies",
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    "SMOCMAES",
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    "WFG1",
    "WFG2",
    "WFG3",
    "WFG4",
    "WFG5",
    "WFG6",
    "WFG7",
    "WFG8",
    "WFG9"
  ],
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    {
      "page": "MaOEA-package",
      "title": "Many-Objective Evolutionary Algorithm",
      "topics": [
        "MaOEA-package",
        "MaOEA"
      ]
    },
    {
      "page": "AdaptiveNormalization",
      "title": "Objective space normalization.",
      "topics": [
        "AdaptiveNormalization"
      ]
    },
    {
      "page": "cmaes_gen",
      "title": "Generator for cmaes_gen class.",
      "topics": [
        "cmaes_gen"
      ]
    },
    {
      "page": "compute_R2HV",
      "title": "Modified powered tchebyscheff R2-indicator designed to approximate HV",
      "topics": [
        "compute_R2HV"
      ]
    },
    {
      "page": "compute_R2HVC",
      "title": "Modified tchebyscheff R2-indicator contribution designed to approximate HV",
      "topics": [
        "compute_R2HVC"
      ]
    },
    {
      "page": "compute_R2mtch",
      "title": "Modified tchebyscheff R2-indicator",
      "topics": [
        "compute_R2mtch"
      ]
    },
    {
      "page": "createWeights",
      "title": "Das and Dennis's structured weight generation, normal boundary intersection (NBI).",
      "topics": [
        "createWeights"
      ]
    },
    {
      "page": "createWeightsSobol",
      "title": "Sobol sequence weights",
      "topics": [
        "createWeightsSobol"
      ]
    },
    {
      "page": "DTLZ1",
      "title": "The DTLZ1 test function.",
      "topics": [
        "DTLZ1"
      ]
    },
    {
      "page": "DTLZ2",
      "title": "The DTLZ2 test function.",
      "topics": [
        "DTLZ2"
      ]
    },
    {
      "page": "DTLZ3",
      "title": "The DTLZ3 test function.",
      "topics": [
        "DTLZ3"
      ]
    },
    {
      "page": "DTLZ4",
      "title": "The DTLZ4 test function.",
      "topics": [
        "DTLZ4"
      ]
    },
    {
      "page": "EvaluateIndividual",
      "title": "Evaluate objective values of a single individual",
      "topics": [
        "EvaluateIndividual"
      ]
    },
    {
      "page": "EvaluatePopulation",
      "title": "Evaluate objective value of a set of individuals",
      "topics": [
        "EvaluatePopulation"
      ]
    },
    {
      "page": "GetHVContribution",
      "title": "Get HV contribution of all points.",
      "topics": [
        "GetHVContribution"
      ]
    },
    {
      "page": "GetHypervolume",
      "title": "Compute hypervolume",
      "topics": [
        "GetHypervolume"
      ]
    },
    {
      "page": "GetIGD",
      "title": "Get IGD value",
      "topics": [
        "GetIGD"
      ]
    },
    {
      "page": "GetLeastContribution",
      "title": "Get least HV contribution",
      "topics": [
        "GetLeastContribution"
      ]
    },
    {
      "page": "GetLeastContributor",
      "title": "Get least HV contributor",
      "topics": [
        "GetLeastContributor"
      ]
    },
    {
      "page": "InitializePopulationLHS",
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      ]
    },
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      ]
    },
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      "title": "Install python modules required by MaOEA: numpy and PyGMO",
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      ]
    },
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      ]
    },
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      "topics": [
        "Normalize"
      ]
    },
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      "title": "Elitist Non-dominated Sorting Genetic Algorithm version III",
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        "NSGA3"
      ]
    },
    {
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      ]
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      "title": "S-Metric Selection EMOA",
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