Machine coded genetic algorithm (MCGA) is a fast tool for realvalued optimization problems. It uses the byte representation of variables rather than realvalues. 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 encodingdecoding process and the classical operators are directly applicable on realvalues. It is fast and can handle a wide range of a search space with high precision. Using a 256unary 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 nondominated sorting algorithm.
Package details 


Author  Mehmet Hakan Satman 
Date of publication  20160512 16:24:50 
Maintainer  Mehmet Hakan Satman <[email protected]> 
License  GPL (>= 2) 
Version  3.0.1 
Package repository  View on CRAN 
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