mcga (2.0)

Machine coded genetic algorihms for real-valued optimization problems.

http://cran.r-project.org/web/packages/mcga

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.

Maintainer: Mehmet Hakan Satman
Author(s): Mehmet Hakan Satman

License: GPL

Uses: Does not use any package

Released almost 8 years ago.