# Change Log This project adheres to [Semantic Versioning](http://semver.org/). ## [Unreleased] ### Added ### Changed ### Fixed ## EvoPER [0.5.0] - 2018-08-30 ### Added - OptionsTS The option class for Tabu search algorithm - abm.tabu The EvoPER Tabu search implementation - abm.tabu.R New file containing the the tabu search implementation - generateSolution Generates combinatory solutions - pop.last Pop the last element from list - pop.first Pop the first element from list - push Push an element to a list - searchrow Search data on a matrix - paramconverter Convert parameter from continuous to discrete and vice versa - netlogo-helper.R Auxiliary functions for running R/NetLogo models - NLWrapper.FindJar Wrapper function for NetLogo models - NLWrapper.Model Wrapper function for NetLogo models - NLWrapper.Shutdown Wrapper function for NetLogo models - NLWrapper.GetParameter Wrapper function for NetLogo models - NLWrapper.SetParameter Wrapper function for NetLogo models - NLWrapper.SetRandomSeed Wrapper function for NetLogo models - NLWrapper.Run Wrapper function for NetLogo models - NLWrapper.RunExperiment Wrapper function for NetLogo models ### Changed - extremize Changed the wrapper for supporting Tabu search - Class Estimates optimization replace rbind by data.table's rbindlist - ObjectiveFunction support for cast parameter to integer - enforceBounds support for cast parameter to integer - enforceBounds support for discrete levels - abd.pso added paramconverter - abd.acor added paramconverter - abd.saa added paramconverter - abd.ees1 added paramconverter - abd.ees2 added paramconverter ### Fixed ## EvoPER [0.4.0] - 2017-03-14 ### Added - f0.rosenbrockn Rosenbrock of N parameters for variadic input - f1.rosenbrockn Rosenbrock of N parameters for vectors - f0.cigar Cigar of N parameters for variadic input - f1.cigar Cigar of N parameters for vectors - f0.schwefel Schwefel of N parameters for variadic input - f1.schwefel Schwefel of N parameters for vectors - f0.bohachevsky Bohachevsky of N parameters for variadic input - f1.bohachevsky Bohachevsky of N parameters for vectors - f0.schaffer Schaffer of N parameters for variadic input - f1.schaffer Schaffer of N parameters for vectors - random.wheel Function for randomlt gerating random seeds - predatorprey.plot1 A wrapper for predatorprey.plot0 for parameter list instead single vars - compare.algorithms1 Sistematic comparison of optimization algorithms - show.comp1 Plot the results of 'compare.algorithms1' - class-options.R new file - class-objective.R new file - class-estimates.R new file - experiments.R new file - test-functions.R new file - helper-functions.R new file - abm-pso.R new file - abm-saa.R new file - abm-acor.R new file - abm-ees1.R new file - abm-ees2.R new file - Basic unit testing for metaheuristics ### Changed - predatorprey.plot - Now is predatorprey.plot0 - Estimates$getBest() - Fixed return value for ACOR eliminating "w" - Default neighborhood function of PSO, previously was KN and now is K4 - contourplothelper - Added parameters nbins, binwidth and points for a fine control of underlying kde2d - The EvoPER source file was break down in small files ### Fixed ## EvoPER [0.3.0] - 2016-11-26 ### Added - Estimates class for returning results of extremize function - OptionsACOR class for ACOr Options - abm.acor Implementation of ACO for continuous domains - abm.ees1 EvoPER Implementation of simple ES - OptionsFactory Creates an instance of Options class - naiveperiod Search for period in data - gm.mean Calculate the geometric mean - elog.level Wrapper (futile.logger) for getting/setting log level - elog.error Wrapper (futile.logger) for logging error messages - elog.info Wrapper (futile.logger) for logging info messages - elog.debug Wrapper (futile.logger) for logging debug messages - acor.updateants ACO internal function - acor.weigth ACO internal function - acor.probabilities ACO internal function - acor.lthgaussian ACO internal function - acor.sigma ACO internal function - acor.archive ACO internal function - acor.S ACO internal function - acor.F ACO internal function - acor.W ACO internal function - acor.N ACO internal function - es.evaluate General ES function for evaluating a solution - ees1.mating EES1 internal function - ees1.mating1 EES1 internal function - ees1.recombination EES1 internal function - ees1.mutation EES1 internal function - ees1.challenge EES1 internal function - ees1.explore EES1 internal function - ees1.selection EES1 internal function - abm.ees2 EvoPER Implementation of simple ES - partSolutionSpace Support function for implementing evolutionary strategies - sortSolution Support function for implementing evolutionary strategies - bestFitness Support function for implementing evolutionary strategies - getFitness Support function for implementing evolutionary strategies - bestSolution Support function for implementing evolutionary strategies - getSolution Support function for implementing evolutionary strategies - slopes Calculate the slope between poins for a time series - slope Calculate the slope between poins for a time series - gm.mean Calculate geometric mean - naiveperiod Calculate the period for a time series - Magnitude Returns the magnitude for a given number - xmeanci1 Calculates the confidence interval using resampling - xmeanci2 Calculates the confidence interval - fixdfcolumns Convert data frame columns to a type - xyplothelper Generate a xy plot - histplothelper Generate a histogram plot - scatterplotlothelper Generate a scatter plot - contourplothelper Generate a surface plot - f0.adtn.rosenbrock2 Examples, rosenbrock with noise - f1.adtn.rosenbrock2 Examples, rosenbrock with noise - f0.nlnn.rosenbrock2 Examples, rosenbrock with noise - f1.nlnn.rosenbrock2 Examples, rosenbrock with noise - predatorprey Examples, predator-prey ODE - predatorprey.plot Examples, plot results of predator-prey - f0.periodtuningpp Examples, period tuning of predator-prey ### Changed - extremize now returns an instance of Estimates class - initSolution now accepts multiple sampling schemes ### Fixed ## EvoPER [0.2.0] - 2016-06-22 ### Added - extremize the entry point for optimization functions - Options Parent class for options - OptionsPSO class for PSO Options - OptionsSAA class for SAA Options - OptionsSDA class for SDA Options - abm.sda Simulted dilution - saa.neighborhood Neighborhood for SAA - saa.neighborhood1 Neighborhood for SAA - saa.neighborhoodH Neighborhood for SAA - saa.neighborhoodN Neighborhood for SAA - saa.tbyk Temperature for SAA - saa.texp Temperature for SAA - saa.bolt Temperature for SAA - saa.tcte Temperature for SAA - f0.test Plain Test function - f0.rosenbrock2 Plain Rosenbrock 2 parms test function ### Changed - abm.pso Change in parameters - abm.saa Change in parameters - abm.sda Change in parameters - renamed saa.neighborhood.t1 now is - saa.neighborhood1 ### Fixed - Bug in abm.pso function ## EvoPER [0.1.0] (first realease) - 2016-06-15 ### Added - ObjectiveFunction S4 Parent class for the objective function - PlainFunction S4 Child class of ObjectiveFunction for estimating parameters of plain math functions - RepastFunction S4 Child class of ObjectiveFunction for estimating parameters of Repast models - assert Checks if some required precondition holds and stop execution if not - pso.Velocity Calculate the particle velocity - pso.neighborhood.K2 Two neighbors - pso.neighborhood.K4 Non Neumann Neighborhood for Particle Searm - pso.neighborhood.KN Fully connected graph neighborhood - pso.lbest Seach for the best neighbor - pso.best Search for the best particle - pso.chi Calculates the constriction coefficient - cbuf A Simple circular buffer implementation - lowerBound Check lower bound - upperBound Check upper bound - enforceBounds Check the lower and upper bounds - saa.neighborhood.t1 Neighborhood function for Simulated Annealing - abm.pso Entry point for Particle Swarm Optimization - abm.saa Entry point for Simulated Annealing - initSolution Generates a initial solution or particles ### Changed ### Fixed