Package: mcga
Type: Package
Title: Machine Coded Genetic Algorithms for Real-Valued Optimization
Problems
Version: 3.0.1
Date: 2016-05-12
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>
Description: Machine coded genetic algorithm (MCGA) is a fast tool for
real-valued optimization problems. It uses the byte
representation of variables rather than real-values. It
performs the classical crossover operations (uniform) on these
byte representations. Mutation operator is also similar to
classical mutation operator, which is to say, it changes a
randomly selected byte value of a chromosome by +1 or -1 with
probability 1/2. In MCGAs there is no need for
encoding-decoding process and the classical operators are
directly applicable on real-values. It is fast and can handle a
wide range of a search space with high precision. Using a
256-unary alphabet is the main disadvantage of this algorithm
but a moderate size population is convenient for many problems.
Package also includes multi_mcga function for multi objective
optimization problems. This function sorts the chromosomes
using their ranks calculated from the non-dominated sorting
algorithm.
License: GPL (>= 2)
Depends: GA
Imports: Rcpp (>= 0.11.4)
LinkingTo: Rcpp
NeedsCompilation: yes
LazyLoad: yes
Repository: CRAN
Date/Publication: 2016-05-12 16:24:50
Packaged: 2016-05-12 13:28:39 UTC; hako
RoxygenNote: 5.0.1
Package: Rothermel
Type: Package
Title: Rothermel fire spread model for R
Version: 1.2
Date: 2014-11-09
Author: Giorgio Vacchiano, Davide Ascoli
Maintainer: Giorgio Vacchiano <giorgio.vacchiano@unito.it>
Description: R build of Rothermel's (1972) model for surface fire rate of spread with some additional utilities (uncertainty propagation, standard fuel model selection, fuel model optimization by genetic algorithm) and sample datasets.
License: GPL-2
Depends: R (>= 3.0.0), GA, ftsa
Packaged: 2014-11-09 23:17:12 UTC; Giorgio
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-10 10:01:43
providing 
.