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  "Type": "Package",
  "Title": "Evolutionary Minimizer for R",
  "Version": "1.0.6",
  "Authors@R": "c(\nperson(\"Davide\", \"Pagano\", email = \"davide.pagano@unibs.it\", role = \"aut\"),\nperson(\"Lorenzo\", \"Sostero\", email = \"l.sostero@studenti.unibs.it\", role = c(\"aut\",\"cre\")))",
  "Author": "Davide Pagano [aut], Lorenzo Sostero [aut, cre]",
  "Maintainer": "Lorenzo Sostero <l.sostero@studenti.unibs.it>",
  "Description": "A C++ implementation of the following evolutionary\nalgorithms: Bat Algorithm (Yang, 2010\n<doi:10.1007/978-3-642-12538-6_6>), Cuckoo Search (Yang, 2009\n<doi:10.1109/nabic.2009.5393690>), Genetic Algorithms (Holland,\n1992, ISBN:978-0262581110), Gravitational Search Algorithm\n(Rashedi et al., 2009 <doi:10.1016/j.ins.2009.03.004>), Grey\nWolf Optimization (Mirjalili et al., 2014\n<doi:10.1016/j.advengsoft.2013.12.007>), Harmony Search (Geem\net al., 2001 <doi:10.1177/003754970107600201>), Improved\nHarmony Search (Mahdavi et al., 2007\n<doi:10.1016/j.amc.2006.11.033>), Moth-flame Optimization\n(Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>), Particle\nSwarm Optimization (Kennedy et al., 2001 ISBN:1558605959),\nSimulated Annealing (Kirkpatrick et al., 1983\n<doi:10.1126/science.220.4598.671>), Whale Optimization\nAlgorithm (Mirjalili and Lewis, 2016\n<doi:10.1016/j.advengsoft.2016.01.008>). 'EmiR' can be used not\nonly for unconstrained optimization problems, but also in\npresence of inequality constrains, and variables restricted to\nbe integers.",
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    "config_cs",
    "config_ga",
    "config_gsa",
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    "config_hs",
    "config_ihs",
    "config_mfo",
    "config_ps",
    "config_sa",
    "config_woa",
    "constrained_function",
    "constraint",
    "freudenstein_roth_func",
    "get_population",
    "griewank_func",
    "list_of_algorithms",
    "list_of_functions",
    "miele_cantrell_func",
    "minimize",
    "parameter",
    "parameters",
    "plot_history",
    "plot_population",
    "rastrigin_func",
    "rosenbrock_func",
    "schwefel_func",
    "styblinski_tang_func"
  ],
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      "name": "G01InitPop",
      "title": "Data set for example G01",
      "object": "G01InitPop",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "x5",
        "x6",
        "x7",
        "x8",
        "x9",
        "x10",
        "x11",
        "x12",
        "x13"
      ],
      "rows": 20,
      "table": true,
      "tojson": true
    }
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      "page": "ackley_func",
      "title": "Ackley Function",
      "topics": [
        "ackley_func"
      ]
    },
    {
      "page": "animate_population",
      "title": "Animation of population motion",
      "topics": [
        "animate_population"
      ]
    },
    {
      "page": "bohachevsky_func",
      "title": "Bohachevsky Function",
      "topics": [
        "bohachevsky_func"
      ]
    },
    {
      "page": "colville_func",
      "title": "Colville Function",
      "topics": [
        "colville_func"
      ]
    },
    {
      "page": "config_abc",
      "title": "Configuration object for the Artificial Bee Colony Algorithm",
      "topics": [
        "config_abc"
      ]
    },
    {
      "page": "config_algo",
      "title": "Configuration object for algorithms",
      "topics": [
        "config_algo"
      ]
    },
    {
      "page": "config_bat",
      "title": "Configuration object for the Bat Algorithm",
      "topics": [
        "config_bat"
      ]
    },
    {
      "page": "config_cs",
      "title": "Configuration object for the Cuckoo Search Algorithm",
      "topics": [
        "config_cs"
      ]
    },
    {
      "page": "config_ga",
      "title": "Configuration object for the Genetic Algorithm",
      "topics": [
        "config_ga"
      ]
    },
    {
      "page": "config_gsa",
      "title": "Configuration object for the Gravitational Search Algorithm",
      "topics": [
        "config_gsa"
      ]
    },
    {
      "page": "config_gwo",
      "title": "Configuration object for the Grey Wolf Optimizer Algorithm",
      "topics": [
        "config_gwo"
      ]
    },
    {
      "page": "config_hs",
      "title": "Configuration object for the Harmony Search Algorithm",
      "topics": [
        "config_hs"
      ]
    },
    {
      "page": "config_ihs",
      "title": "Configuration object for the Improved Harmony Search Algorithm",
      "topics": [
        "config_ihs"
      ]
    },
    {
      "page": "config_mfo",
      "title": "Configuration object for the Moth-flame Optimization Algorithm",
      "topics": [
        "config_mfo"
      ]
    },
    {
      "page": "config_ps",
      "title": "Configuration object for the Particle Swarm Algorithm",
      "topics": [
        "config_ps"
      ]
    },
    {
      "page": "config_sa",
      "title": "Configuration object for the Simulated Annealing Algorithm",
      "topics": [
        "config_sa"
      ]
    },
    {
      "page": "config_woa",
      "title": "Configuration object for the Whale Optimization Algorithm",
      "topics": [
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      ]
    },
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      "title": "Constrained function for minimization",
      "topics": [
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      ]
    },
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      "topics": [
        "constraint"
      ]
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      "topics": [
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      "topics": [
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      ]
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    {
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      "title": "Miele Cantrell Function",
      "topics": [
        "miele_cantrell_func"
      ]
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    {
      "page": "minimize",
      "title": "Minimize an Objective Function",
      "topics": [
        "minimize"
      ]
    },
    {
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      "title": "EmiR optimization options",
      "topics": [
        "MinimizerOpts"
      ]
    },
    {
      "page": "OptimizationResults",
      "title": "EmiR optimization results",
      "topics": [
        "OptimizationResults"
      ]
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      "topics": [
        "parameter"
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    },
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        "parameters"
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