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  "Title": "Quantum Genetic Algorithm",
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  "Date": "2024-09-23",
  "Authors@R": "c(person(\"Giulio\", \"Barcaroli\", role = c(\"aut\", \"cre\"),\nemail = \"gbarcaroli@gmail.com\"))",
  "Description": "Function that implements the Quantum Genetic Algorithm,\nfirst proposed by Han and Kim in 2000. This is an R\nimplementation of the 'python' application developed by\nLahoz-Beltra\n(<https://github.com/ResearchCodesHub/QuantumGeneticAlgorithms>).\nEach optimization problem is represented as a maximization one,\nwhere each solution is a sequence of (qu)bits. Following the\nquantum paradigm, these qubits are in a superposition state:\nwhen measuring them, they collapse in a 0 or 1 state. After\nmeasurement, the fitness of the solution is calculated as in\nusual genetic algorithms. The evolution at each iteration is\noriented by the application of two quantum gates to the\namplitudes of the qubits: (1) a rotation gate (always); (2) a\nPauli-X gate (optionally). The rotation is based on the theta\nangle values: higher values allow a quicker evolution, and\nlower values avoid local maxima. The Pauli-X gate is equivalent\nto the classical mutation operator and determines the swap\nbetween alfa and beta amplitudes of a given qubit. The package\nhas been developed in such a way as to permit a complete\nseparation between the engine, and the particular problem\nsubject to combinatorial optimization.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "LazyLoad": "yes",
  "NeedsCompilation": "no",
  "Packaged": {
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