EmiR1.0.5 package

Evolutionary Minimizer for R

ackley_func

Ackley Function

animate_population

Animation of population motion

bohachevsky_func

Bohachevsky Function

config_abc

Configuration object for the Artificial Bee Colony Algorithm

config_algo

Configuration object for algorithms

config_bat

Configuration object for the Bat Algorithm

config_cs

Configuration object for the Cuckoo Search Algorithm

config_ga

Configuration object for the Genetic Algorithm

config_gsa

Configuration object for the Gravitational Search Algorithm

config_gwo

Configuration object for the Grey Wolf Optimizer Algorithm

config_hs

Configuration object for the Harmony Search Algorithm

config_ihs

Configuration object for the Improved Harmony Search Algorithm

config_mfo

Configuration object for the Moth-flame Optimization Algorithm

config_ps

Configuration object for the Particle Swarm Algorithm

config_sa

Configuration object for the Simulated Annealing Algorithm

config_woa

Configuration object for the Whale Optimization Algorithm

constrained_function

Constrained function for minimization

constraint

Constraint for minimization

freudenstein_roth_func

Freudenstein Roth Function

get_population

Get population positions

griewank_func

Griewank Function

list_of_algorithms

Return the list of algorithms in EmiR

list_of_functions

Return the list of pre-defined functions in EmiR

miele_cantrell_func

Miele Cantrell Function

minimize

Minimize an Objective Function

MinimizerOpts

EmiR optimization options

OptimizationResults

EmiR optimization results

parameter

Parameter for minimization

parameters

Set of parameters for minimization

plot_history

Plot minimization history

plot_population

Plot the population position

rastrigin_func

Rastrigin Function

rosenbrock_func

Rosenbrock Function

schwefel_func

Schwefel Function

styblinski_tang_func

Styblinski-Tang Function

A C++ implementation of the following evolutionary algorithms: Bat Algorithm (Yang, 2010 <doi:10.1007/978-3-642-12538-6_6>), Cuckoo Search (Yang, 2009 <doi:10.1109/nabic.2009.5393690>), Genetic Algorithms (Holland, 1992, ISBN:978-0262581110), Gravitational Search Algorithm (Rashedi et al., 2009 <doi:10.1016/j.ins.2009.03.004>), Grey Wolf Optimization (Mirjalili et al., 2014 <doi:10.1016/j.advengsoft.2013.12.007>), Harmony Search (Geem et al., 2001 <doi:10.1177/003754970107600201>), Improved Harmony Search (Mahdavi et al., 2007 <doi:10.1016/j.amc.2006.11.033>), Moth-flame Optimization (Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>), Particle Swarm Optimization (Kennedy et al., 2001 ISBN:1558605959), Simulated Annealing (Kirkpatrick et al., 1983 <doi:10.1126/science.220.4598.671>), Whale Optimization Algorithm (Mirjalili and Lewis, 2016 <doi:10.1016/j.advengsoft.2016.01.008>). 'EmiR' can be used not only for unconstrained optimization problems, but also in presence of inequality constrains, and variables restricted to be integers.

  • Maintainer: Lorenzo Sostero
  • License: GPL-3
  • Last published: 2025-05-13