Package: mcga
Type: Package
Title: Machine Coded Genetic Algorithms for Real-Valued Optimization
        Problems
Version: 3.0.9
Date: 2025-12-10
Author: Mehmet Hakan Satman [aut, cre]
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: 2025-12-10 20:20:02 UTC
Packaged: 2025-12-10 20:03:09 UTC; hako
RoxygenNote: 5.0.1
Authors@R: person(given = c("Mehmet", "Hakan"),
                    family = "Satman",
                    role = c("aut", "cre"),
                    email = "mhsatman@istanbul.edu.tr")
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 10:43:52 UTC; unix
Archs: mcga.so.dSYM
