Package: mcga
Type: Package
Title: Machine coded genetic algorithms for real-valued optimization
        problems
Version: 2.0.5
Date: 2012-01-08
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
LazyLoad: yes
Repository: CRAN
Date/Publication: 2012-01-09 06:04:46
Packaged: 2012-01-08 19:38:51 UTC; hako
