{
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  "Title": "Evolutionary Parameter Estimation for 'Repast Simphony' Models",
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  "Date": "2026-05-18",
  "Authors@R": "c(\nperson(\"Antonio\", \"Prestes Garcia\", email = \"antonio.pgarcia@alumnos.upm.es\", role = c(\"aut\",\"cre\")),\nperson(\"Alfonso\", \" Rodriguez-Paton\", email = \"arpaton@fi.upm.es\", role = c(\"aut\",\"ths\")))",
  "Author": "Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton\n[aut, ths]",
  "Maintainer": "Antonio Prestes Garcia <antonio.pgarcia@alumnos.upm.es>",
  "URL": "https://github.com/antonio-pgarcia/evoper",
  "BugReports": "https://github.com/antonio-pgarcia/evoper/issues",
  "Description": "The EvoPER, Evolutionary Parameter Estimation for\nIndividual-based Models is an extensible package providing\noptimization driven parameter estimation methods using\nmetaheuristics and evolutionary computation techniques\n(Particle Swarm Optimization, Simulated Annealing, Ant Colony\nOptimization for continuous domains, Tabu Search, Evolutionary\nStrategies, ...)  which could be more efficient and require, in\nsome cases, fewer model evaluations than alternatives relying\non experimental design.  Currently there are built in support\nfor models developed with 'Repast Simphony' Agent-Based\nframework (<https://repast.github.io/>) and with NetLogo\n(<https://www.netlogo.org/>) which are the most used frameworks\nfor Agent-based modeling.",
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