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
Packaged: 2026-10-06 10:39:19 UTC; root
RoxygenNote: 5.0.1
Authors@R: person(given = c("Mehmet", "Hakan"),
                    family = "Satman",
                    role = c("aut", "cre"),
                    email = "mhsatman@istanbul.edu.tr")
Repository: https://jbytecode.r-universe.dev
Date/Publication: 2025-12-10 20:05:50 UTC
RemoteUrl: https://github.com/jbytecode/mcga
RemoteRef: HEAD
RemoteSha: beaf0ef94d1578d40034898e9983fd8d5cc1c376