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        "author": "Marco S. Nobile",
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        "description": "======================\r\nEvolutionary Petri Net\r\n======================\r\n\r\n*Evolutionary Petri Nets* (EPN) is a convenient tool for the automatic \r\ninference, optimization, and reverse engineering of Petri Nets (PNs). The \r\nlibrary exploits the evolutionary computation methodology described in [1].\r\n\r\nWARNING: this is a preliminary alpha release.\r\n\r\nEPN can be used as follows:\r\n\t\r\n\t#!/usr/bin/env python\r\n\r\n\tfrom epn.hpn import *\r\n\tfrom epn.evolpn import *\r\n\tfrom epn.basic import *\r\n\r\n\tPOPULATION = 10\r\n\r\n\tE = EvolutionaryPetriNet()\r\n\tE.setPopulationSize(POPULATION)\r\n\tE.useTournament(size=2)\r\n\tE.setIterations(100)\r\n\tfor p in range(POPULATION):\r\n\t\tp = ResizablePetriNet(\"H\"+str(p))\r\n\t\tE.addHPN(p)\r\n\t\tE.mutate()\r\n\tE.setFitnessFunction( ... )\r\n\tE.Optimize()\r\n\t\r\nEPN can produce output figures of the PNs by using the dot/graphviz library. \r\nFor this reason, EPN relies on the external library pydot. The current state\r\nof the whole EPN can be outputted with the following command:\r\n\r\n\tE.dumpToFile(\"output.png\")\r\n\r\n\r\nBasics\r\n======\r\n\r\nEPNs does not directly handle PNs, but it exploits an extended class named \r\n*Resizable Petri Net* (RPN). A population of RPNs undergoes an evolutionary \r\nprocess, in which the best individuals are iteratively modified and improved\r\nby means of crossover and mutation operators. The evolutive pressure is driven\r\nby a user-defined fitness function.\r\n\r\nThe programmer is given the freedom of choosing \r\n\r\n* the population size;\r\n\r\n* one of the selection mechanism (roulette wheel, ranking, tournament);\r\n\r\n* the maximum number of iterations;\r\n\r\n* the pre- and post-order of transitions (see [1] for further information).\r\n\r\n\r\nThanks also to\r\n--------------\r\n\r\nEPNs have been developed by a joint effort of M.S. Nobile and G. Mauri \r\n(University of Milan-Bicocca, Italy), D. Besozzi (University of Milan, Italy) \r\nand P. Cazzaniga (University of Bergamo, Italy).\r\n\r\nFurther information:\r\n\r\n[1] Nobile, Besozzi, Cazzaniga and Mauri, \"The Foundations of Evolutionary\r\nPetri Nets\", Proceedings of the 4th International Workshop on Biological \r\nProcesses & Petri Nets (BioPPN 2013), a satellite event of PETRI NETS 2013\r\n(G. Balbo and M. Heiner, eds.), CEUR Workshop Proceedings Vol. 988, 60-74, 2013\r\n\r\n<http://www.disco.unimib.it/go/45712>",
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